Your first AI agent in production in 30 days. Fixed scope, fixed price.
AI transformation, put into production

AI made your people faster. What about your business?

Get your first AI agent into production in 30 days. One workflow, redesigned and measured against a real baseline.

For companies that want AI to fuel growth. Not to speed up typing.

Choosing the strategy approach in the RELIABL.IT platform.
Identified strategic and operating gaps.
The transformation timeline as a Gantt chart.
The actions board, each initiative offering artifacts and a Copy MCP action.
Our point of view

AI activity is not AI transformation.

Every company we walk into is already using AI, and it is genuinely helping. People are faster, they are happier, and that beats banning it. Almost none of them can point to a business metric that moved because of it. The technology is fine. The gap opens because the work started in the wrong place.

Activity

Where almost every company is now

Everyone is busy. Nothing finishes.

  • Tools make individuals faster: drafting, summarising, searching, cleaning up a spreadsheet.
  • Pilots improve a fragment: each team automates the step that annoys it most.
  • The workflow around it, the ownership and the approvals stay exactly as they were.
  • Nobody wrote down what the work cost before, so nobody can say what changed.

Motion isn't progress.

Transformation

Where the few are pulling ahead

One workflow, changed end to end.

  • It starts from a business priority someone is already measured on.
  • The workflow is redesigned, not decorated.
  • A person owns the metric. The agent works inside agreed guardrails.
  • The baseline is captured before go-live, so the result survives a conversation with the CFO.

Same technology. Different outcome.

The difference is where you start.

MIT measured this same split and put numbers on it. Of the organisations it studied, 95% report zero return on generative AI. The 5% that put AI into whole workflows report millions. Its conclusion: the divide is determined by approach, not by model quality and not by regulation.

Source: MIT, The GenAI Divide: State of AI in Business 2025. Preliminary findings, July 2025. Third-party research, not a RELIABL.IT result.

Five questions

AI is already happening in your company. Can you prove what changed?

Five questions, yes or no. Nobody is watching and nothing is stored.

  1. 1. Is anyone using AI to write better emails, summarise a document, or clean up a spreadsheet?

    This is true in every company we talk to.

  2. 2. Has one whole workflow changed because of it, start to finish?

    Faster drafting is a step. Inbound lead to booked meeting is a workflow.

  3. 3. Do you know what that workflow cost before AI touched it?

    Minutes per run or euros per unit, written down at the time. Not reconstructed afterwards.

  4. 4. Has the improvement shown up anywhere your CFO looks?

    A line in a report they already read, not a story in a meeting.

  5. 5. Has AI changed how your leadership team runs the company?

    Setting priorities, seeing where execution is stuck, deciding what's next. Not writing the board update faster.

Most companies stop at two.

That is what AI adoption looks like almost everywhere right now: real activity, real enthusiasm, and nothing that reaches the P&L. The gap between where you are and a measured result is one workflow, thirty days, and a baseline captured before you start.

Book your AI Value Scan

You're further than most, and you're one step short of the part that counts.

You have a workflow moving. What you probably don't have is the before, written down at the time, in a metric someone outside your team already tracks. That's the piece that makes the next agent easy to fund. What's worth talking about is how fast you prove the business impact and scale it.

Book an AI Transformation call

All five. That puts you in the 5%.

Congratulations. You've done the part most companies never reach. Strategy now has to adapt faster than any annual cycle allows, and every agent doing the work has to keep up with it when it changes. Closing that gap is what we call Dynamic Strategy, and that's the conversation we'd like to have.

Book a Dynamic Strategy call
The missing layer

The layer between strategy and technology.

Strategy consultants set the direction. AI developers build the technology. The work in between is where most AI spending disappears: deciding where AI should create value, how the work changes, who stays responsible, what the agent may do, and how anyone will know it worked.

Strategy consultants

Set the direction, then hand you a document.

  1. A priority worth moving

  2. The workflow, redesigned

  3. Who does what, who approves

  4. The agent, inside guardrails

  5. Monitoring you can see

  6. A metric that moved

AI developers

Build the technology, then hand you a tool.

That is the layer RELIABL.IT builds, for one workflow, in 30 days.

The 30 days

One workflow. A controlled path to production.

We measure the workflow before the agent touches it. Skip that and nobody can prove afterwards what changed, so you end up arguing about a feeling instead of a number. We treat it as a gate: the measurement happens, or the agent does not go live.

KickoffDay 30
  1. 01

    Direction and baseline

    We decide the workflow together and establish how it performs today.

  2. 02

    Select and redesign

    Redesign the workflow end to end: what stays human, what the agent does, where a person approves.

  3. 03

    Configure and validate

    Configure the agent, define approved access, test outputs and failure cases, agree escalation rules before anyone uses it for real.

  4. 04

    Controlled production launch

    Launch with real users, watch how it runs, and compare the same metric against the baseline.

Six things you keep, even if you stop on day 30.

Output 1

A production AI agent

A real agent running in the agreed workflow. Not a prototype, not a demo.

Output 2

A redesigned workflow

The documented workflow with its human responsibilities and approval points. It keeps running with or without us in the room.

Output 3

A strategy recap

Your own direction and objectives, written down in one place, in the form the transformation work actually runs on.

Output 4

A gap analysis

Where the strategy, the operating model and today's capabilities fall short. Named, not implied.

Output 5

An action plan

Those gaps turned into actions with owners and time estimates, so the work has somewhere to go on day 31.

Output 6

The next opportunities

Further AI opportunities in priority order, ranked by business value rather than by enthusiasm.

€3,000 + VAT. Fixed scope, 30 calendar days, less than one month of the person you were about to hire. Continuing into Transformation and Scale is a separate decision, taken after you have seen the result.

See the full 30-day scope → See pricing →

Fit

You will recognise yourself in at least one of these.

Worth two minutes now rather than thirty minutes on a call.

This is built for you if

  • Your people like the AI tools and use them every day, and your CFO still cannot see any of it in the numbers.
  • Progress is real but slow. Everything to do with AI takes a quarter longer than it should.
  • You own a workflow that runs at volume and has to work: sales operations, customer support, finance, shared services, operations.
  • You know you have to do something about AI and there is no obvious place to start.
  • You have a role you cannot fill, or a hiring freeze, and the work still has to get done.
  • You need something you can defend upward with a number, not a demo.
  • You already have an AI lead or a CAIO who is strong on one side, the technology or the operating model, and you want the other side covered.
  • You are an established company, roughly 100 to 500 people.

One honest caveat. If you can already name a workflow AI made faster and the number it moved, you are in the 5% and this is not the offer you need. Tell us, and we will talk about scale instead.

What clients say

RELIABL.IT works with established companies across three countries on strategy, AI transformation and execution. These are references from that work. None of them is a First Agent Sprint result.

We decided to transform our business at Kontron - both because of changed international environment as well as to improve our internal processes. On this path, RELIABL.IT helped us revamp our strategy and kickstart our AI transformation.

Robert Kuzmič, CEO, Kontron Slovenia

AI is not about prompts or replacing people - it's about our clear intention to change how we think, how we work, and how we design processes. That's where the real value lies, especially in traditional industries. We're investing in our people so they can lead this transformation, not chase it. RELIABL.IT with their AI Powered Leader approach helped us take the steps to start realizing this.

Dejan Kaisersberger, CEO, KOTO

Find where AI can create measurable value first.

The free 45-minute AI Value Scan looks at one priority and one workflow. Next day you get a one-page map of where an agent pays first, the metric we'd aim to move, and a fixed price and date.

45 minutes. You keep the map either way.

No preparation required. No commitment.

It's the first step into the 5% that really transform. The gap between the 5% and everyone else widens every month.