AI IMPLEMENTATION · PROCESS AUTOMATION

Repetitive work
moves to the agent.
Decisions stay with people.

StelCode implements AI inside your existing infrastructure — ERP, CRM, document stores and customer service channels. Data stays under your organisation's control, and the scope of work is written down before the first line of code exists.

SUBMIT A PROCESS SEE THE DIAGRAM

AGENT · ACTIVITY24/7

09:41document receivedINV/2481

09:41line items read14/14

09:42validated against PO/1190ok

09:42written to ERP147 ms

09:43price mismatch → operator

09:44procedure lookup3 sources

09:45draft reply in CRM

09:41document receivedINV/2481

09:41line items read14/14

09:42validated against PO/1190ok

09:42written to ERP147 ms

09:43price mismatch → operator

09:44procedure lookup3 sources

09:45draft reply in CRM

RAG ON COMPANY DATA·AGENTS WITH INTEGRATIONS·DOCUMENT WORKFLOWS·ERP APIS·PYTHON · TYPESCRIPT

01 Two rules every implementation stands on

PRIVACY · PRECISION

01 DATA PRIVACYBY DEFAULT, NOT ON REQUEST

Company data does not become training material.

The architecture of every implementation starts with where data may be processed, not with the choice of model. Access is narrowed to the minimum the process needs, and anything that leaves the client's infrastructure is stated explicitly in the documentation.

Processing locationEU / on-prem

Training on client datadisabled

Permissionsdocument level

Data processing termsDPA in place

Decision traillogged and auditable

02 PRECISION OF DELIVERYSCOPE AGREED, NOT ASSUMED

What gets built is exactly what was agreed.

The scope is written before the first line of code: input, output, exceptions and the metric that shows whether it works. Changing requirements is normal and enters as a separate stage with its own price, instead of blurring the agreement mid-project.

Scope and pricebefore we start

Billingper closed stage

Acceptance criterionnumeric

Code ownershipclient

Response to a ticket1 business day

02 DIAGRAM — PURCHASE INVOICE WORKFLOW

ILLUSTRATIVE EXAMPLE

TODAY
~14 min

document arrives

manual reading

match against PO

re-typing into ERP

approval

AFTER ROLLOUT
~2 min

document arrives

AGENTreading · validation against the PO · write to ERP

exception approval

WHAT STAYS WITH PEOPLE

Decisions, exceptions and cases outside the rule — with the agent's reasoning attached.

WHAT IS MEASURED

Handling time, share of exceptions, cost per query, accuracy against manual handling.

WHAT WE DO NOT CHANGE

The source system. The agent sits next to it, through an integration layer.

03 Scope of work

TWO AREAS

3.1

Assistants on company data

Answers grounded in documentation, contracts and internal knowledge — always with a source reference and permission control.

RAG · ACCESS CONTROL

3.2

Document workflow automation

Reading, validation and system entry for invoices, orders and claims. The operator approves exceptions instead of re-typing everything.

OCR · VALIDATION · ERP

It starts with discovery — if the effort turns out to outweigh the effect, the recommendation says so plainly, even when that means a smaller project or none at all.

04 HOW THE WORK RUNS

Discovery

A conversation about the process and data access, ending in a clear feasibility verdict.

Scope and quote

Input, output and metrics described. A fixed price per stage instead of hourly billing.

Pilot

The agent works on real data alongside the team. Results compared against manual handling.

Production and handover

Integration, permissions, cost and quality monitoring, documentation and team training.

05 Who does the work

DIRECT · ONE PERSON DELIVERING

Over seven years of systems that had to work on Monday morning.

Behind StelCode is over seven years of commercial development — building and maintaining applications that stay in the company for years after rollout. Full-stack in TypeScript, React and Next.js, cross-system integrations. Production systems, not conference prototypes.

StelCode exists to carry the same rigour into AI implementations: RAG assistants on company data with access control, and agents wired into existing systems through a service layer, running on Google Cloud. Scope written before the first line of code, a pilot on real data, a numeric acceptance criterion — exactly as for a system that has to work on Monday morning.

This is a new direction and there is no point hiding it. The first AI implementations run on reference-client terms: a lower price in exchange for permission to cite the project, and direct work with the person writing the code. Larger scope is split into stages or — if it exceeds real capacity — declined.

Part of the work lives outside client projects: a Rust/WebAssembly package for in-browser audio analysis published on npm, and an in-progress WASM test of a stock-options pricing engine. That is where the low-level work goes — performance and predictability over a polished demo.

Commercial experience7+ years

Pathproduction web → AI implementations

FocusRAG · agents · integrations

StackTypeScript · Python · Rust

Outside productionRust / WebAssembly

EngagementB2B contract with DPA

DIRECT CONTACT

You talk to the person writing the code, with no account manager relaying decisions.

ONE PROJECT AT A TIME

No queue of parallel clients means predictable dates and full attention on one implementation.

PRACTICE, NOT SLIDES

Over seven years of code kept alive in production — architecture and cross-system integrations, not proofs of concept.

CONTINUITY

Code, documentation and access are handed over continuously — the work can be taken over at any point.

06 Questions

Anything else — a short message through the form is enough.

Does the business case require cutting headcount?

No. The team stops re-typing data and moves to the cases that need a decision.

Where is the data processed?

In the EU by default, and on models running inside the client's infrastructure where regulation requires it.

Who owns the code afterwards?

The client. Repository, documentation and access are handed over continuously, not at the end of the project.

What if a system has no API?

The scope then includes an integration layer, and its cost is visible in the quote from the start.

What happens when the model answers incorrectly?

Defined confidence thresholds and an escalation path to an operator, measured from the first week of the pilot.

Our data is messy — is it too early?

Usually not. The discovery stage establishes the effort needed to prepare the data, before any decision to implement.

07 CONTACT

Describe one process. Get an assessment and a date.

A reply within one business day: a feasibility assessment and a first cost estimate once the process is understood, not a generic offer.

contact@stelcode.dev

Repetitive workmoves to the agent.Decisions stay with people.