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AI integration and process digitisation: up to 70% of person-hours saved

I build AI into your processes module by module — from staff training and SOPs to automated funnels, dashboards and controls. On lightweight code, with a harness panel and transparent logic. Any automation or digitisation idea can be built.

from 2,000 $ · the final quote depends on scope and project hours — fixed in the contract before we start. 50/50 payment, deadlines backed by penalties on my side.

up to 70%
person-hours saved
24/7
agents work without days off
from 7
days to the first module
1 = 4
one person with AI instead of a team
what gets digitized

Modules your system is assembled from

01

Training, assessment, crowdsourcing

Learning platforms, simulators and tests for staff and customers: onboarding without supervisors, knowledge checks, and idea and feedback collection in one loop.

02

Intranets, SOPs and standards

A living company knowledge base: SOPs, standards and instructions tied to the actual processes. A new hire finds the answer instead of interrupting colleagues.

03

Document builders, routine automation

Proposals, contracts, reports and SOPs get assembled from templates and data in minutes. The routine that used to be done by hand goes to the agents.

04

Automated funnels, diagnostics, lead gen

Quizzes, diagnostic blocks and nurture flows: the lead arrives already qualified, with a brief and a clear next step.

05

Dashboards and analytics

Business metrics on one screen: sales, unit economics, advertising, production. Decisions on data instead of on gut feel.

06

Team performance visibility

Transparent tasks, targets and quality of execution: you can see where the process stalls and who is overloaded — without micromanagement.

Any automation or digitisation idea can be built: if a process has data and logic, I can build a module for it.

why this approach

Why it's faster, leaner and more alive than classic development

01

Up to 70% of person-hours saved

The routine — data collection, documents, reports, answers to standard questions — goes to the agents. People work on what genuinely needs a person.

02

Accuracy in actions and decisions

Less human factor: the system doesn't forget, doesn't get tired and doesn't slip on the third shift. Decisions get made on data, not on what an employee remembers.

03

Inefficiency becomes visible

A digitised process highlights the bottlenecks: where requests get lost, tasks stall and money leaks. What you used to sense is now visible in numbers.

04

Pipelines, harness panels, visualisation

You see straight through the processes: stages, statuses, and the links between data and documents in one admin panel. You manage a system instead of a thread of messages.

05

Understanding the process, then optimising it

Digitising forces you to describe the process honestly — and half the optimisations turn up on the process map, before any code gets written.

06

Lower costs, higher throughput

The result in money: fewer person-hours per operation, a faster deal cycle, fewer losses. Every module gets a payback calculation before the start.

how it works

AI conducts the processes: from the signal coming in to the product going out

  • The AI core takes the incoming signals — requests, orders, sensor and system data — and issues commands to the processes.
  • Inside the production "box", agents run the operations: planning, task allocation, quality control.
  • The harness panel holds the link between data ↔ documents ↔ logic: every stage from input to output is visible.
  • What comes out the other end is finished: goods, documents and reports reach their recipient with no manual routine.
  • Dashboards show the flow in real time: bottlenecks, idle time and the person-hours saved.
  • The algorithms are set up for continuous improvement: each cycle makes the process more accurate and cheaper.
how we work

From brief to analytics support — one transparent pipeline

  1. 01

    Process audit

    1–2 days

    I dig into the business: how sales, production, documents and communication actually work. We write down where the person-hours and the money go.

    We start from your economics, not from the AI trend

  2. 02

    Process map and automation points

    2–3 days

    I describe the processes as they are, find the bottlenecks and the points where automation gives the biggest effect.

    Half the optimisations are visible on the map — before any code

  3. 03

    Prioritisation by effect

    1–2 days

    I calculate each module's effect in person-hours and money, then order the rollout starting with the fastest payback.

    We build first whatever returns the money soonest

  4. 04

    Module design

    2–3 days

    Journeys, data structure, roles, integrations and logic for the first module. A spec that shows the result before development.

    Fixes on a diagram are cheap — and you won't need them in the code

  5. 05

    Module MVP

    5–10 days

    The working core built on lightweight code: screens, data, business logic, the first agents.

    Within days the team holds a working tool, not a presentation

  6. 06

    Integrations and AI agents

    3–5 days

    The module gets connected to your systems (CRM, ERP, spreadsheets, messengers) over APIs, and agents get embedded into the processes.

    The stack behaves like one organism instead of a pile of workarounds

  7. 07

    Dashboards and controls

    2–3 days

    Module and process metrics go onto dashboards, with targets and alerts configured.

    The effect of the rollout is visible in numbers, not in claims

  8. 08

    Training and support

    3 months

    I train the team and hand over the harness panel, the documentation and the prompts. Three months of support, plus the next modules in priority order.

    The system stays yours — no permanent retainer to an integrator

business cases

What this looks like in a live business

Brand content engine

A content engine running on the brand's tone of voice: SEO articles, product pages, posts and newsletters get assembled by agents from approved recipes, and a human only signs off.

10+ content units a day

ERP and production harness panel

Cost, margin and purchasing plans for every SKU in one panel: unit economics stops living in people's heads and scattered spreadsheets.

clear unit economics per SKU

Learning platform with a simulator

Training for customers and staff with interactive simulators and assessment: progress is visible in numbers, and supervisors aren't needed at every step.

hundreds of learners, no supervisors

Document builder

Proposals, contracts and SOPs get assembled from templates and CRM data in minutes — no copy-paste and no wrong details.

a document in 2 minutes instead of an hour

Marketplace analytics

The sales funnel and marketplace ad spend in one dashboard with auto-sync: every campaign's payback is visible daily instead of at month end.

ad payback, daily

Automated funnel with quiz diagnostics

A quiz qualifies the lead, collects the brief and sends it straight to the sales manager's chat: the sale starts from data instead of from "tell me about your task".

the lead arrives qualified

comparison

A classic integrator and AICS-93

classic integrator
AICS-93
Time to first result
Months of turnkey rollout
First module from 7 days
Budget
An integrator's team plus licences
Up to 70% lower
Approach
An off-the-shelf system like everyone else's
Modules built for your processes
AI in the system
A chatbot bolted onto the processes
Agents inside the processes
Transparency
The contractor's black box
Harness panel and documentation
Owning the system
A retainer forever
The system is yours + prompts handed over
what you get

Not a turnkey-and-forever rollout, but a system that stays yours

Working modules in production

Not a presentation and not a pilot, but tools the team uses every day — built, tested and rolled out.

Harness control panel

An admin panel linking data ↔ documents ↔ logic: transparent control over the whole system from one place.

Process map and documentation

Honestly described processes, automation points and priorities — a working digitisation map for months ahead.

Dashboards and reporting

Process metrics and the effect of the rollout in numbers: person-hours saved, cycle speed, bottlenecks.

AI agents and prompts

Agents tuned to your processes, plus the prompts and instructions for your team to grow them.

Team training and support

Three months of support, staff training and handover of control — the system stays yours.

solution bank

Solution bank

Ready modules already proven in live businesses: your project gets assembled from them like blocks — faster and cheaper than from scratch. Custom logic gets written only where your specifics actually begin.

content engineharness paneldocument builderquiz funneldashboards and reportslearning modules and simulatorsAPI integrationsAI agents inside processes
faq

Answering the questions that matter

I don't know what to automate. Where do I start?

With the audit and the process map. I describe how the business actually works, find the points where person-hours and money go, and calculate each module's effect in money. We start with the fastest payback — you don't need to arrive with a finished spec.

We already have a CRM, an ERP and spreadsheets — do we throw it all out?

No. What works stays: modules connect to your systems over APIs and grow around them. Digitisation isn't a move to a new platform, it's tying what you already have into one controllable loop.

How safe is it to hand processes and data to AI?

The data stays inside your perimeter, access is separated by roles, and the agents work to approved rules with a human at the control points. AI speeds up execution — the decisions and the accountability stay controllable.

The staff won't accept it — won't everything break?

That's exactly why the interfaces are simpler than the current routine, the rollout is module by module, and the team gets trained. When a system saves someone an hour a day instead of adding reporting, resistance ends quickly.

Why module by module instead of everything at once?

Because that way each step pays for itself. The first module ships in days, shows its effect in numbers and earns the trust that funds the next one. Big turnkey rollouts die in approvals — modules live and work.

How much does it cost?

It depends on the set of modules and the depth of the integrations. So I don't hang a number on it blindly: request an estimate below — I'll go through the task, calculate the effect and show you the budget range before any work starts.

Digitisation that pays back module by module

Not a big rollout someday, but a first working module within days — with its effect in numbers and a clear queue of next steps. Up to 70% of person-hours saved, a harness panel, and a system that stays yours. Request an estimate — I'll calculate the effect for your business.

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