SystemsApproachProofThesisTeamTalk to usENES

Approach

80% of every transformation
is the same.

We have already built that 80%. Implementation is software, not billable hours.

80%Already built and running
20%Custom

The foundation, never from scratch

What every company needs for AI to actually work. We built it once, not once per client.

  • Connected to the systems you already use
  • Permissions: everyone sees what they should
  • Every action is logged and reviewable
  • A person decides where it matters
  • Your data stays inside your environment

The part that's yours, built to measure

What makes your company different. Our agents generate it following our method, and our engineers review it.

  • Your processes, the way your team really works
  • Your rules, your exceptions, your formats
  • In production in weeks, not a year

Discovery

Agents interview your people,
on calls. Not a questionnaire.

An agent joins a call with each person who does the work. It asks, follows up and cross-checks. Every answer becomes structure: a step, a system, a rule, an exception, an owner.

Discovery call · Order deskRecording
Interview agent
MRMaria R. · Order desk
Agent

Walk me through what happens when an order arrives by email.

Maria R.

I open it, check the PDF against the customer price list in SAP, then reply to confirm.

Agent

What do you do when there is not enough stock?

Maria R.

Depends. Hartley always takes partial shipments. Marlow never does.

Captured liveStructured
Step

Open order email, check PDF against price list

System

SAP · customer price list

Rule

Hartley accepts partial shipments

Rule

Marlow never accepts partial shipments

Exception

Stock short: split the shipment, ask the customer

14 / 18 interviews6 teams212 steps mapped64 rules and exceptions

The map

A map of your company,
built by expert agents.

The interviews compile into a deliverable you keep: every department, workflow and system, and for each step, whether it should be code, an agent or a person.

Company map · Illustrative companyv1.0
Sales3
Quote requests
Agent
Price and terms check
Code
Discount approval
Person
Operations3
Order intake
Agent
Stock validation
Code
Exceptions
Person
Finance3
Invoice matching
Code
Payment chasing
Agent
Month-end close
Person
Support3
Ticket triage
Agent
Answers from the docs
Agent
Escalations
Person
Legal3
Contract review
Agent
Clause library
Code
Sign-off
Person
Systems of record

The build

Custom software from there.
Redesign, code and agents.

A

Process redesign

Why does this workflow exist like this?

We remove what only existed because of old limits, before anything is automated.

Before · 7
ReceiveRe-typeCheckForwardWaitApproveFile
After · 3
ReceiveCheckApprove

B

Deterministic software

What should be code?

Rules that do not change. Fast, auditable, identical every time.

# same input, same output
if line.qty > stock.free:
    split_shipment(line)
for line in order:
    price = prices[customer]
invoice = build_invoice(order)

C

Specialized agents

What should be an agent?

Work that means reading, judging and writing on messy input.

And where does a person still make the call?

Wherever it matters.

  • Approvals above a threshold
  • Exceptions the rules do not cover
  • Anything with legal or financial consequences

Specialized agents

Specialists in your company.
Not generic bots.

We take the domain expertise of your industry and your company, your data, your memory. Everything. Each agent is trained on it, then does one job well.

Each agent absorbsYour industry expertiseYour dataYour memoryEverything your company knows

01Order intake

Reads every email and attachment.

KnowsYour customers, their formats, six years of orders.

02Stock

Checks availability and proposes splits.

KnowsYour warehouses, lead times and substitutions.

03Legal

Answers with the clause in front of you.

KnowsYour contracts and the regulation that applies to you.

04Support

Answers what can be answered.

KnowsYour products, your policies, your tone of voice.

05Finance

Matches, reconciles, chases.

KnowsYour chart of accounts and how your clients pay.

06Reporting

Sends the numbers every morning.

KnowsYour KPIs and how your team reads them.

Connectors

Plugged into the systems
you already use.

ERP and finance
SAP
Oracle
Odoo
QuickBooks
CRM and sales
Salesforce
HubSpot
Microsoft 365
Outlook
Teams
SharePoint
Excel
OneDrive
Microsoft 365
Google Workspace
Gmail
Drive
Sheets
Calendar
Teamwork
Slack
Notion
Atlassian
Airtable
Data
PostgreSQL
Snowflake
Databricks
Commerce and support
Shopify
Stripe
Zendesk
WhatsApp
And the rest
Any API
Any database
Any mailbox

Your data

Your data is your value,
and it should remain yours.

  • Strict GDPR compliance
  • No logs
  • No training on your data
  • Stays in your environment
Your environment
Your data
Your agents
Your software
Model training
Where it runs
Virtual private serverOn-premise server

Anything in between, your call.

Method

If we started from zero today,
how would we do it?

  1. 01

    Agents interview and map

    AI agents interview your people, on video or in writing, and map how the work really gets done. Management and the people who do it.

  2. 02

    We start from the 80%

    What every company needs is already built. The map decides what to switch on and what is left over.

  3. 03

    Agents generate the 20%

    Your custom part is generated from the map, then reviewed by our engineers.

  4. 04

    Deploy and measure adoption

    In production in six to twelve weeks, with your team using it daily. We measure that they do.

We don't diagnose. We build.

What you get at the end.

What usually happens

You get a map.

  • A report on what should be done
  • A deck with a roadmap
  • And the build, as a separate project

What we do

You get the company, working.

  • Our agents interview your people and map the process
  • We build the system that runs it
  • We put it in production and your team uses it

Tell us one process.
We'll tell you how to build it.

Talk to us