servicesprocessworksecuritypricingcontactStart a Project →
Multi-agent AI infrastructure

AI agents that work togetherto run entirebusiness operations.

We engineer coordinated, multi-agent AI systems that combine specialized agents, shared organizational knowledge and controlled execution to automate complex workflows from start to finish.

Multi-agent orchestrationShared knowledgeControlled execution
See What We Build →Book a Free Discovery Call
24/7Always Running
35-43sLead to BookingTest benchmark
0Per-Seat FeesYou pay only your own hosting and API usage
TRISIEN
AUTOMENCE
Notif HubAlert
Marcus Weber
🔥 Elite · 9.2 → Discord #sales
Routed today9
HOT leads4
ChannelDiscord + SMS
LinkedInRunning
47
Profiles enriched
Nodes66
ViaApollo.io
Doc IntelActive
Triggered doc analysis. Reads, routes, notifies - with approval rules you set.
EngineGemini AI
Latency<8s
Booking24/7
6
Meetings · zero input
Cal✓ Google
CRM✓ NocoDB
RAG BotActive
38
Queries resolved
DataSimulated
SourcePinecone
Lead IntelRunning
9.2/ 10
Marcus Weber
🔥 Elite
Scored14
Time35-43s
Manual0
Simulated demo data
24/7Always Running
35-43sLead to Booking
0Per-Seat Fees
Built withn8n · NocoDB · OpenAI · Anthropic Claude · Google Gemini · xAI Grok · Pinecone · Docker · Cloudflare · Ollama · Cal.com · Apollo.io
Who This Is For

Built for teams drowning
in repetitive operations

📈
Sales Teams
Too many leads, slow follow-up and repetitive qualification eating hours every week.
⚙️
Operations Teams
Manual workflows, repetitive data entry and processes that live in someone's head instead of a system.
📚
Knowledge-Heavy Businesses
Large document collections, internal knowledge and the same questions answered over and over.
🔒
Businesses That Want Control
Companies that want to own their data, infrastructure and automation stack - not rent it.
Conceptual example of a coordinated lead pipeline
What We Build

Beyond isolated
AI agents.

A single AI agent can handle a task. Trisien engineers systems in which multiple specialized agents coordinate their work, use shared organizational knowledge and execute connected tasks toward a common operational objective.

Each agent has a defined responsibility. An orchestration layer manages dependencies and task progression while shared knowledge and operational state help keep the system aligned. Agents only access the data their role needs. Validation and human approval can be built into the workflow wherever needed.

The result is an integrated system designed to execute a defined business process from start to finish - not merely one step within it.

35-43s
Avg pipeline time
0
Manual steps in test runs
0
Per-seat licensing fees
What We Build

Specialized agents you can deploy alone
or coordinate into one system

Each workflow below can run on its own or as part of a coordinated build. Timings shown come from test runs and not from client deployments.

01
⚡

Lead Intelligence Engine

Problem

Leads arrive from multiple sources and follow-up is inconsistent.

System

An autonomous pipeline captures, enriches, scores and routes every lead.

Result

Every lead is scored in 15-18s, so sales teams get qualified opportunities without manually triaging every submission.

NocoDB · Gemini AI
02
🤖

AI Booking Agent

Problem

Scheduling back-and-forth costs hours and loses leads who won't wait.

System

A conversational agent reasons through conflicts, confirms slots and books the meeting - 24/7.

Result

Meetings get confirmed in 20-25s, at the moment intent is highest, with zero manual coordination.

Google Calendar · Gmail
03
🔔

AI Notification Hub

Problem

High-priority leads sit in an inbox until someone happens to check it.

System

Each lead is scored in real time and routed to Discord or SMS based on urgency.

Result

The right person sees the right lead in 10-15s, not hours.

Discord · Twilio
04
📄

Document Intelligence

Problem

Incoming documents need to be read, understood and acted on by a person every time.

System

A WhatsApp-triggered agent reads the document, extracts what matters and routes it.

Result

Document turnaround drops from a queue to 45-60s, without added headcount.

WhatsApp · Gemini AI
05
🧠

RAG Knowledge Bot

Problem

The same internal questions get asked and answered over and over.

System

A retrieval-augmented agent reasons over your knowledge base via Pinecone and answers on WhatsApp.

Result

Repetitive questions get answered in 60 to 105 seconds, freeing your team for the ones that actually need a human.

Pinecone · WhatsApp
06
🔍

LinkedIn Lead Scraper

Problem

Prospecting is manual, slow and hard to scale consistently.

System

A 66-node pipeline scrapes profiles, enriches them via Apollo.io and summarizes with AI.

Result

A steadily growing, enriched prospect list lands in Sheets at 75 to 99 seconds per profile, hands-free.

Apollo.io · Google Sheets
How It Works · Illustrative Architecture

Form submit to booked meeting in 35-43s

A scripted walkthrough of one inbound lead moving through a coordinated agent system. Each agent has a defined role. Confident results proceed automatically while uncertain ones go to a person for approval. Chat on the left and an n8n-style workflow view on the right.

State: Idle (Listening)
01
Shared knowledge
Organizational knowledge and operational context
02
Orchestration
Task coordination and dependency management
03
Specialized agents
Each executes an assigned responsibility
04
Validation and approval
Exception handling and human review where required
05
Completion
A defined business operation is finished

The model provides reasoning and language capabilities. The agent's instructions, tools, memory, state management and execution logic determine what it can do. The orchestration layer coordinates work across agents while shared knowledge and controlled access help maintain consistency and security.

Conceptual example. The number of agents and the design vary per build.

TrisienDemo OS
Agents: 5/5
⚡
🎯
📄
📅
🔗
🔒
TA
Orchestrator · ActiveHello. I am the Orchestrator for Trisien's practice OS. How may I assist you or route a task to one of our specialist agents today?
Inbound Form LeadNew lead just came in from the contact form. High-intent inquiry with brief PDF attachment.
CEO
TA
Awaiting triggerSystem in standby mode. Awaiting message...
Tokens Used
12,400
Session Quota
88% Free
Agents Online
5/5 Active
Lead IntelligenceScored: 0
Document IntelAnalyzed: 0
Consultation Sched.Booked: 0
Relationship MgrSynced: 0
workflow /Trisien Practice Orchestrationdemo
Execution: Scripted LoopZoom 100%
⚡
Orchestrator / CEO
Trisien Autonomous Hub
Idle
Routing state:Awaiting inbound lead
Model: OpenAI· Core Reasoning
🎯
Standby
Lead Intelligence
Scoring & Intent Analysis
Score:94 / 100
Anthropic
📄
Standby
Document Intel
Case File Analyzer
PDF parsed:4 deliverables
Anthropic
📅
Standby
Consultation Sched.
Autonomous Booking
Slot booked:Tomorrow 2 PM
Google
🔗
Standby
Relationship Mgr
CRM & Client Sync
CRM sync:Dispatched
Google
n8n-style workflow view · shared operational state with scoped access · approval gates per workflow
Avg Response Time
35-43s
vs. a 4-6 hr manual baseline · informal industry estimate · test benchmark
Review Gates
Per workflow
Approval thresholds are set during the build
Provider Support
4 providers
OpenAI · Anthropic Claude · Google Gemini · xAI Grok
Human-in-the-Loop
Configurable
Human approval where the stakes call for it
Open Source Work

Open-source reference
agentic workflows

Each workflow below is a tested reference build with its repository open for anyone to inspect. Each one is a single workflow. Client builds can connect several of them into one coordinated system. We design that system after we learn how you actually lose time and revenue today, not before.

01
⚡
Lead Intelligence Engine
Autonomously analyzes inbound leads, reasons about intent, generates priority scores 1 - 10. An agent that thinks.
Problem
Inbound leads pile up unsorted so reps spend time chasing curiosity clicks instead of high-intent buyers.
What Deployment Changes
For a real sales team, every lead lands pre-scored and prioritized before a human opens it.
View Repository →
02
🤖
AI Booking Agent
24/7 conversational booking. Reasons through conflicts, confirms slots, creates calendar events, sends emails.
Problem
Booking replies only happen during business hours so after-hours leads go cold before anyone answers.
What Deployment Changes
Deployed for a business, this closes the gap between interest and a confirmed slot without anyone checking a calendar at midnight.
View Repository →
03
🔔
AI Notification Hub
Real-time lead routing. Scores, summarizes, dispatches alerts to Discord and SMS based on urgency.
Problem
High-urgency leads sit in the same inbox as low-priority ones so the ones that matter most get found last.
What Deployment Changes
For a sales team, the right person gets alerted the moment a hot lead comes in, not on the next inbox sweep.
View Repository →
04
📄
Document Intelligence
WhatsApp-triggered doc analysis with Gemini. Creates events, routes to Slack and Gmail automatically.
Problem
Documents shared over WhatsApp or email get read, logged and forwarded manually, one at a time.
What Deployment Changes
For an operations team, a shared document becomes a routed, logged action in 45-60s of upload.
View Repository →
05
🧠
RAG Knowledge Bot
Pinecone + Gemini. Reasons through your knowledge base, constructs contextual answers, responds via WhatsApp.
Problem
Staff or customers ask the same questions repeatedly and answering them pulls someone off higher-value work.
What Deployment Changes
For a support or ops team, repeat questions get answered in 60 to 105 seconds from your own knowledge base, day or night.
View Repository →
06
🔍
LinkedIn Lead Scraper
66-node pipeline. Scrapes, enriches via Apollo.io, crafts AI summaries, populates Google Sheets.
Problem
Building a targeted outbound list means searching, copying, enriching and summarizing each prospect by hand.
What Deployment Changes
For a sales or growth team, target criteria becomes an enriched, summarized prospect list with no manual research.
View Repository →
Where Things Stand

We do not sell a template. We learn your market from you first.

Every workflow shown above is a working demonstration of the kind of infrastructure Trisien Automence deploys. Animated panels on this page use simulated data. Before we build anything for your business, we start by learning how you position yourself in your own market and where you are actually losing time or revenue today. That conversation shapes the system. Two businesses in the same industry rarely get the same build, because their losses are not the same.

Industries

Built for industries that run
on messages, documents and handoffs

🧾
Accounting & Bookkeeping
Accounting & Bookkeeping Firms
Invoices, receipts and missing documents arrive from every direction and the close drags on. Coordinated agents read, code, reconcile, chase and summarise while the accountant approves what matters.
Document IntelligenceLedger CodingReconciliationClient ChaseClose Summary
Try the demo Use your own API key and watch it work.
🚢
Freight & Logistics
Freight Forwarders & Logistics SMEs
Quotes, orders and exceptions live in inboxes and spreadsheets. Coordinated agents read the paperwork, price the lane, enter the order, watch the shipment and check the invoice.
Document IntelligenceQuoteOrder EntryTracking & ExceptionsInvoice Check
Try the demo Use your own API key and watch it work.
🛡️
Insurance Brokerage
Insurance Brokers & Intermediaries
Every client file is a pile of forms, quotes and renewal dates. Coordinated agents extract the documents, profile the risk, compare carriers, track renewals and check the file before it goes out.
Document IntelligenceRisk ProfileQuote ComparisonRenewalFile Check
Try the demo Use your own API key and watch it work.
🏭
Manufacturing & Wholesale
Manufacturers & Wholesale Distributors
RFQs and purchase orders arrive as email and PDF and wait for someone to retype them. Coordinated agents read the request, build the quote, enter the order, chase suppliers and warn of shortages.
Document IntelligenceQuote BuilderOrder EntrySupplier Follow-upStock Alert
Try the demo Use your own API key and watch it work.
🏢
Property Management
Property Managers & Letting Agencies
Maintenance requests, contractors and owner reports run on messages and memory. Coordinated agents triage each request, dispatch the contractor, update the tenant, answer from the lease and report to the owner.
Request TriageVendor DispatchTenant UpdateLease KnowledgeOwner Report
Try the demo Use your own API key and watch it work.
🩺
Healthcare Admin
Clinics & Practice Administration
Referrals, insurer paperwork and recalls swamp the front office. Coordinated agents handle secure intake, insurer forms, scheduling, protocol lookup and the daily admin brief. Administrative work only.
Secure IntakeInsurer PaperworkSchedulingProtocol LookupAdmin Brief
Try the demo Use your own API key and watch it work.
Why Trisien

Not Zapier. Not Make.
Not another SaaS subscription.

Generic automation tools connect your apps. Trisien builds a system that reasons about your specific operation and hands you the keys when it's done.

🔑
You Own the System
No forced dependency on a proprietary SaaS platform. It runs on infrastructure you control, self-hosted or in your own cloud account.
🧠
Autonomous, Not Just Automated
Systems reason, decide and execute based on defined rules and AI capabilities - not a fixed if-this-then-that chain.
🛡️
Security-Conscious Architecture
Self-hosting, controlled access, containerization and infrastructure-level ownership by default.
🧩
Built Around Your Operation
Designed around your actual forms, CRM and booking flow - not a generic template you have to adapt to.
📖
Technical Ownership
You receive documentation and architecture diagrams and understand what was actually built.
💸
No Per-Seat Licensing
One build, one server. No per-seat SaaS licensing - your recurring costs are infrastructure, third-party API usage and any optional services you choose.
Automation Without Surrendering Control

Autonomous systems shouldn't require businesses to surrender control of their data. Trisien designs around ownership, controlled access and security-conscious infrastructure - self-hosted, containerized and behind Cloudflare, with logging and human approval gates where the stakes call for it.

Security & Data Architecture

Where your data goes
and who can see it

You own the infrastructure. We document every external service that receives data, what data is transmitted and why - this is the general architecture pattern Trisien builds around by default.

Exact providers and data flows are finalized and documented per project. This page explains the pattern - it is not a substitute for that documentation, a signed data-processing agreement or your own legal review.

Client Data→Client-Owned Infrastructure→Agent Orchestration→External LLM / API→Database / Storage→Logs & Backups
01
Client Data
Forms, CRM entries, inbound messages or documents - whatever the workflow is built to capture. What gets captured at the source is the client's decision.
02
Client-Owned Infrastructure
The application and database run on a server the client controls by default - self-hosted, Docker + Cloudflare Tunnel. Not on Trisien's servers.
03
Agent Orchestration
n8n workflows decide what happens next and which external service (if any) a given step needs to reach. Only the fields that step requires are passed on - not a full data dump.
04
External LLM / API
Where a step needs scoring, embedding or enrichment, a request goes to a named provider - e.g. Gemini, Pinecone, Apollo.io. Exactly what leaves the infrastructure and to which provider, is documented per project before deployment.
05
Database / Storage
Structured records (leads, bookings, documents) are stored in NocoDB or Pinecone on the client's infrastructure by default. Retention, export and deletion are the client's to control.
06
Logs & Backups
Operational logs and backups exist for debugging and recovery, stored alongside the deployment. Server access - along with log and backup access - is granted by the client, not held by Trisien after handoff.
07
Change Management
Changes to a deployed workflow are documented and versioned per project so you can always see what changed, when and why - not a silent overwrite of the previous build.
Providers Used, By Role
n8n
Workflow orchestration
NocoDB
Structured database
OpenAI
Reasoning / language model
Anthropic Claude
Reasoning / language model
Google Gemini
Reasoning / language model
xAI Grok
Reasoning / language model
Pinecone
Vector storage / retrieval
Docker
Self-hosted deployment
Cloudflare
Tunnel / edge access
Apollo.io
Contact enrichment (where used)
Cal.com
Booking / scheduling (where used)
Which of these are actually in a given build depends on scope - confirmed in your project's architecture documentation, not assumed from this list.
Human Oversight Model

Autonomous doesn't mean unsupervised. Every build has clearly defined boundaries around what an agent can do on its own versus what needs a human - configured per workflow, based on how much is at stake if the agent gets it wrong.

01
AI recommendation
An agent proposes a score, a reply or a booking - it doesn't act blind.
02
Confidence threshold
A defined rule, set during the build, decides what a confident vs. uncertain result looks like for that workflow.
03
Route the action
High-confidence results can proceed automatically. Low-confidence results are flagged for human review before anything sends or books.
04
Audit log
Every decision and action is logged so what happened and why can be traced back after the fact.
Interactive Systems

Run the systems yourself

These are working demonstrations of the systems Trisien builds. Explore the workflows, see how the agents reason and get a feel for what could be deployed for your operation. No deck, no pitch.

Cost of Slow Follow-up
Your Numbers
40 leads
5 hrs
$200
20 %
Both panels on the right update live from these - no separate calculate step.
$0.00
Lost since you started the counter
$0.001/sec at your entered numbers
Revenue Breakdown
Current monthly revenue$1,600
From closed deals at current close rate
Lost to slow response-$1,407
Estimate at your current response time, based on the Oldroyd (HBR/MIT, 2011) response-decay study
Upside at 5-minute response (ceiling)+$1,407/mo
Best-case ceiling: assumes the whole lost share is recovered
Annual revenue gain$16,879
Compounded over 12 months
Payback Period
58 days
Estimate: the Growth tier pays for itself in about 58 days at these numbers
Both panels above run on your own entered numbers, scored against a published response-time study and an anonymized internal benchmark. Outputs are estimates and not guarantees.
Your numbers: 40 leads/month · $200 deal value · 5hr response time · 20% close rate, run through the Oldroyd (HBR/MIT, 2011) response-decay curve. Defaults above come from an anonymized internal benchmark, not a client deployment or a third-party estimate.
Market Demos

Try the demo for your industry

Pick your market. Bring your own API key and watch the agents run end to end, or watch a sample run with no key at all.

🧾
Accounting & Bookkeeping
Accounting & Bookkeeping Firms
Invoices, receipts and missing documents arrive from every direction and the close drags on. Coordinated agents read, code, reconcile, chase and summarise while the accountant approves what matters.
  1. Document IntelligenceReads invoices, receipts and statements from email and uploads and extracts the fields.
  2. Ledger CodingAssigns accounts and categories and drafts the entries for review.
  3. ReconciliationMatches bank lines to entries and flags every mismatch.
  4. Client ChaseRequests missing documents through each client's preferred channel and tracks replies.
  5. Close SummaryCompiles month-end status, exceptions and a review pack for the accountant.
Launch the demo with your API key Watch a sample run, no key needed
Bring your own API key. You stay in control of usage and cost.
From First Call to Ownership

The buyer journey

01
Discovery
A call to map your existing workflow, tools and constraints.
02
Architecture
The system is designed around your infrastructure and data requirements.
03
Build
Agents, workflows, integrations and oversight gates are implemented.
04
Testing
Normal cases, failure cases, permissions and review thresholds get tested before go-live.
05
Deployment
The system deploys into the agreed environment - yours by default.
06
Documentation
Architecture diagrams, data-flow docs and operating instructions are handed over.
07
Handoff
Your team is walked through how to run and extend the system.
08
Support
An optional Care Plan covers ongoing extension and troubleshooting - never required.
One-Time Build

One-time build
You own the system

Hosting, third-party API usage and the optional Care Plan are separate recurring costs.

Currency
01 - Starter
Starter
€1,000
/one-time
  • 2 custom agentic workflows - e.g. lead capture + booking or intake + notification
  • AI prompt engineering tuned to your business and industry
  • Self-hosted or cloud-hosted - your choice, full data ownership
  • 2 integrations - Gmail, Calendar, Discord or Slack
  • Live dashboard to monitor both pipelines in real time
  • 5 - 7 day delivery + 3 days post-launch support
Start Here →
Most Popular
02 - Growth
Growth
€2,500
/one-time
  • Up to 3 interconnected agentic workflows as one unified pipeline
  • AI-powered lead scoring with priority classification 1 - 10
  • 24/7 AI booking agent + notification hub included
  • Self-hosted NocoDB CRM - your data, zero SaaS licensing fees
  • Live dashboard + chat interface to talk directly with your agent
  • Dedicated Next.js knowledge base - your own Obsidian-style system
  • Up to 3 integrations + Cloudflare Tunnel + SSL
  • Full docs + architecture diagrams + 7 days support
Build My System →
03 - Infrastructure
Infrastructure
Starting from
€4,500
Starts at €4,500 · scales with scope and features
  • Complete Lead Intelligence Engine + 24/7 AI Booking Agent
  • RAG Knowledge Bot, Document Intelligence, Notification Hub
  • Live dashboard with full telemetry + agent chat interface
  • Dedicated Next.js Obsidian-style knowledge base - fully branded
  • Docker on your server or your cloud account with Cloudflare + SSL
  • Your choice of AI provider - OpenAI, Anthropic Claude, Google Gemini, xAI Grok or Ollama
  • Enterprise integrations scoped per project (e.g. Salesforce, HubSpot, Slack)
  • Architecture diagrams + full docs + 14 days support
Book a Free Call →

No per-seat SaaS licensing on any tier. Your hosting (self-hosted server or cloud), third-party API usage (e.g. Gemini, Pinecone, Apollo.io) and an optional Care Plan are separate recurring costs you control directly.

Optional · Cancel Anytime

Care Plans

Not a retainer. Not a dependency. A structured way to keep the system growing with your business - on your terms.

Currency
01 - Starter
€200 /mo
billed monthly · no contract
Tune as you learn
For non-dev teams who bought Starter

Businesses rarely know exactly what they need until the system is live. As your workflows reveal gaps, we tune them - no rebuild required.

→1 monthly workflow check - a review of both pipelines for errors, failed runs or drift
→1 minor adjustment per month - e.g. a prompt tweak, a field mapping change or a threshold update on existing workflows (new integrations or new workflows are scoped and billed separately)
→Priority response within 48hrs - our target turnaround for Care Plan requests, not a contractual SLA
02 - Growth
€800 /mo
billed monthly · no contract
System-level stewardship
For teams managing a multi-agent OS

Your dev team can manage individual workflows - orchestrating a unified multi-agent system is a different problem. You built the parts; we built the whole.

→Monthly health audit - a written check of every workflow's error rate, run history and API usage across the system
→Up to 2 adjustments - config, prompt or logic changes within existing workflows (new agents, new integrations or new channels are scoped as separate work)
→Knowledge base updates - content and structure edits to your existing Next.js knowledge base
→24hr priority response window - our target turnaround for Care Plan requests, not a contractual SLA
03 - Infrastructure
€1,300 /mo
billed monthly · no contract
Extend without breaking
For engineering teams scaling the system

Your team will eventually want new integrations. Extending a complex multi-agent OS without knowing its load-bearing parts is high risk. A self-inflicted break means a full rebuild at cost. Care Plan covers safe extension by the architect who built it.

→Safe feature and integration additions - new integrations or workflow extensions implemented by the original architect, scoped within a reasonable monthly allotment
→Unlimited minor adjustments - config, prompt and logic changes to existing workflows (net-new agents or systems are scoped separately)
→Quarterly evolution session - a call to review system health and plan the next quarter's changes
→Same-day response - our target turnaround for Care Plan requests, not a contractual SLA
→No headcount increase needed

No contract. Cancel anytime. Only available as an add-on to an existing build. Response-time windows above are our target turnaround, not a contractual guarantee with financial remedy.

Before You Decide

What you're actually getting
and what you're not

Every question we get asked before signing, answered straight.

👤
Who actually builds this? Is it a team or one person?
One architect designs and delivers each build. The agents then run the defined workflows day to day with human approval where you set it. Headcount was never the point.
🛡️
What if the architect is unavailable - who keeps things running?
The build is designed so you are not dependent on one person's availability. Your system runs on infrastructure you own, self-hosted or cloud-hosted, with no dependency on our availability. The workflows keep running on your infrastructure. Full docs, architecture diagrams and a walkthrough video ship with every build - your team has everything they need without us on call.
🔧
What happens after delivery - do I need you to keep it running?
You own it outright. It runs on infrastructure you control, self-hosted on your server or cloud-hosted in your own account, under your domain. Full docs plus a walkthrough are included. After handoff, it runs without daily supervision. People stay in the loop wherever you set approval gates.
🔒
My data - where does it go, who can access it?
Your data stays on infrastructure you control: your own server if self-hosted, or a cloud account you own if cloud-hosted. Docker + Cloudflare Tunnel either way. No shared databases. The architecture is designed to support GDPR, PIPEDA and Privacy Act requirements - final compliance depends on your specific deployment, configuration and data flows.
☁️
Self-hosted or cloud-hosted - which do I get?
Both are available, and you choose based on what your business needs. Self-hosted runs on a server you control, which suits teams with strict data residency or sovereignty requirements. Cloud-hosted runs in a cloud account you own, which suits teams that want less infrastructure to look after. The architecture is the same either way, and we settle it together on the discovery call.
⚡
I've seen 'AI automation' tools before. What makes this different?
Tools are generic. We do not start from a template and adjust it to fit. Before anything gets built, we learn your market from you: how you position yourself, where the leads actually come from and where you are losing time or revenue today. Two businesses in the same industry get different systems, because their losses are not the same.
📈
How do you know what my industry actually loses to slow follow-up?
The calculator above starts from a published response-time study and applies it to the numbers you enter. That gives us a starting point for the conversation. Your own numbers, which you know better than any published report, are what the final system gets built around.
🔄
What if I want changes after delivery?
Support windows are 3 days (Starter), 7 days (Growth) and 14 days (Infrastructure). Beyond that, changes are scoped separately, unless you're on a Care Plan, which covers them instead.
💰
€1,000 / €2,500 is not cheap. What's the ROI?
Depends on what slow follow-up is already costing you, which is exactly what we work out with you before you commit to a tier. Starter is priced against replacing a part-time hire. Growth is priced against replacing SaaS tools plus manual follow-up. The calculator above runs your own numbers, not an industry placeholder.
🎯
Can I see it working in my industry before committing?
Book a free call. We'll walk through your actual intake or booking flow and show what a system built around it looks like. No deck, no pitch.

Still have a question not answered here? Book a call - no pitch, just answers.

Book a Free Call →
Demo System Status · SimulatedDemo
Lead Intelligence
14 scored · avg 15-18s
AI Booking Agent
6 booked · avg 20-25s
Notification Hub
9 routed · avg 10-15s
Document Intel
4 processed · avg 45-60s
RAG Knowledge Bot
avg 60-105s response
LinkedIn Scraper
avg 75-99s per prospect
demo uptime 18:42:07simulated data
The Intelligence Layer
MD Alif Hossain Nayem
Founder & AI Systems Architect
Cybersecurity · AI Infrastructure · Autonomous Systems

"The architect designs the mind. The system does the work."

Trisien Automence designs systems that keep running without constant supervision. The architect's role is to design the logic and the approval rules. After handoff the agents execute the defined workflows on your infrastructure.

What you get is a system that follows up on your leads around the clock and hands the decisions that matter to a person. The architect is the intelligence behind it. The system is what shows up for work.

Book a Free Call →GitHubLinkedIn
Get In Touch

Tell us what you need
We confirm fit within 72 hours

Before you spend anything
Fill in the form. We'll review your setup, scope the system and come back with a clear plan and timeline. Project inquiries receive a personal reply within 72 hours. Starter builds typically deliver in 5 - 7 days once scoped.
📅
Book a free discovery call
✉️
Send an email
Limited Availability

Tell us what you want
off your plate

We'll map the workflow, identify what can be automated and show you what the system could look like - before you commit to anything.

Book a Free Discovery Call →