A clear AI plan in 10 days.
Big AI projects can run a year before anyone knows if they work. We start with two weeks, then build only what pays.
It starts with a short call with our AI experts.
In short
Attentions takes one process at a time from idea to measured savings. It is for leaders of large companies who want proof before they spend. We start with a 2-week AI assessment on site, and you decide at every gate.
- 2-week AI assessment
- Data made AI ready in up to 3 months
- Most AI workers live in 4 to 6 weeks
- Savings your CFO confirms
One process at a time, each one proven.
Big AI plans often stall. Small, proven steps add up.
We start with the one process where AI pays first. We prove it against your own numbers, then do the next one faster.
What that means for you
- 01Start with one slow, costly process.
- 02Measure how it runs today.
- 03Prove the AI worker against that number.
- 04Then do the next process, faster.
Four steps, from plan to savings.
Each step ends at a gate where you decide.
012 weeks
Two weeks to know where AI pays.
We map your systems and data, and score how ready each process is. On Day 10 you choose: approve the first pilot, plan the next processes, or pause.
Gate
- Approve the first pilot
- Plan the next processes
- Pause
02up to 3 months
Your data and context, made AI ready.
Our Context Engine links your data to what it means. Our MCP and tooling strategy lets AI act safely, with approved steps only.
Gate
034 to 6 weeks
Most go live in 4 to 6 weeks.
We build AI workers on our AI Platform. They work beside your team, with a person checking, until they prove themselves.
Gate
04within months
Real returns, within months.
We measure against your Week 1 baseline. Your CFO confirms every saving. Then the next process goes faster.
Gate
Ten days on site. One clear plan.
Our AI experts work with your team on site. Most of your team's time falls in Week 1.
- Map your systems, data and processes.
- Score how ready each process is for AI.
- Rank the ideas by value, and pick the first pilot.
The 10-day plan
Days 1 and 2
Map your systems and data.
You getA system and data map.
Days 3 and 4
Check your engineering tools: Jira, Git and build pipelines.
You getAn engineering baseline.
Day 5
Study your service desk tickets.
You getTicket patterns.
Days 6 and 7
Map processes and hand-offs.
You getProcess maps.
Days 8 and 9
Score readiness and rank ideas.
You getA readiness scorecard.
Day 10
Present findings and the roadmap.
You getThe roadmap and your decision.
Day 10 decision
How we find the facts
01
Connect
With look-only access.
02
Read
AI reads code, logs, tickets and bills.
03
Double-check
Two sources must agree, or we ask the owner.
04
Confirm
The owner checks each fact.
From ideas to one pilot
- 10 to 20ideas
- 3 to 5ready briefs
- 1first pilot
Each idea is tested for value, readiness, control and reuse.
What we need from you
- One point of contact.
- Look-only access to Git, Jira and your service desk.
- A few diagrams and data samples.
- About half a day per person.
Your dataAnalysis stays in your environment and in your country. It is never used to train models.
How we keep your data safeTime asked, per role
| Role | Time |
|---|---|
| Security and data owner | about 1 hour |
| Sponsor and leaders | about 2.5 hours |
| Lead architects | 2 to 4 hours |
| Engineering leads | about 2 hours |
| Service desk lead | 1 to 2 hours |
| Process owners | about 2 hours each |
Six documents. One clear decision.
You get six documents and one decision. The report is yours, whatever you choose.
The six documents
- 01Executive recommendation
- 02Readiness scorecard
- 03Ranked ideas and AI worker briefs
- 04Work and staffing baseline
- 05List of data gaps to fix
- 06Value case and 90-day plan
The Day 10 decision
- Approve the first pilot
We start on your first AI worker. The data work begins where that worker needs it.
- Plan the next processes
You line up the next processes from the roadmap, with us or on your own.
- Pause
You stop here. You keep the full report and the roadmap.
What it gives you
- You know where AI pays, in 10 days.
- You spend only on steps that prove themselves.
- You keep a roadmap your team can run, whatever you decide.
Five levels. AI workers start at level 3.
We score each process from 1 to 5. At level 3, AI workers can start.
AI workers can start here
What we score for each process
At level 5, AI does the routine work and your people handle the exceptions. The assessment sets your direction to get there.
AI readiness check
Check your readiness in a minute
Six quick questions about one process. You see its likely level, then book with it if you like.
Make your data and context AI ready.
This takes up to 3 months. Our Context Engine and advanced MCP and tooling strategy make your data and context AI ready. It has four parts.
How an AI worker reaches your systems
AI worker
Asks to do one step of its job.
- 01
Guardrails
Checks every step before it runs.
Allowed steps, approval points, a full log, a check that the task really finished, and a stop switch.
- 02
MCP tools
MCP is a standard way for AI to use your systems.
We allow only approved actions, like reading a ticket.
- 03
Context Engine
Links each record to what it means.
Like which invoice belongs to which customer.
- 04
Trusted data
Your records and documents, cleaned up.
Each source has a named owner.
Your systems
ERP, files, tickets and email. Nothing moves out.
Three requests, three outcomes
The AI worker asksRead a ticket
Goes throughAn approved action. Logged.The AI worker asksRefund above the limit
ReviewA person approves it first.The AI worker asksDelete a supplier
StopNot an allowed step. Stopped and logged.
Built from tested parts, checked by your people.
Most AI workers go live in 4 to 6 weeks. A pilot with your people comes first, then we prove it against your baseline.
01
Build
We put your AI worker together from tested parts of our AI Platform. Only your data, rules and links are new.From tested parts
02
Pilot
It works beside your team on real cases. A person checks its work and approves risky steps.With your people
03
Score
Quality, tasks finished, hand-offs to people, and the full cost of each finished task.Against your baseline
04
Accept
Targets met, then we scale. If not, we fix it or stop.- Accept
- Fix
- Stop
You decide
- Limited access
- A person approves risky steps
- A full log
- A stop switch
A message is not a finished task. We count the job done, including any rework by people.
Fast, private and affordable to run
Tested parts, reused
Reading files, search, memory and audit are already built. Only your part is new.
On your servers
It runs on your servers or in your region. Your data is never used to train models.
No bill per question
A fixed licence and small models where they fit, not a bill for every question.
Returns you can measure, within months.
We count four things. Your CFO confirms each one, with its date. No blind promises.
- 01 AI assessment2 weeks
- 02 AI-ready dataup to 3 months
- 03 AI workers4 to 6 weeks
- 04 Returnswithin months
The four ways we count
Cash saved
Money that stops going out, like a claim you no longer pay by mistake.
Cost avoided
Spend you no longer need, like extra hands in a busy month.
Time freed
Hours your people get back for work that needs them.
Revenue gained
New income, like more cases handled in the same week.
Measured at a customer: Up to 3% of warranty payout saved. See the results
Questions leaders ask first.
Short answers. Our AI experts take the rest on the first call.
What is the 2-week AI assessment?
Our AI experts work with your team on site for ten days. They map your systems and data, score how ready each process is and rank where AI pays first. On Day 10 you get six documents and choose the next step.
How soon can an AI worker go live?
Most AI workers go live in 4 to 6 weeks, once the data they need is ready. Making your data and context AI ready takes up to 3 months.
Does our data leave our network?
Analysis runs inside your environment and stays in your country. It is never used to train models.
How much of our time do you need?
About half a day per person, mostly in Week 1.
What do you need before Day 1?
One point of contact, look-only access to Git, Jira and your service desk, and a few diagrams.
Who comes on site?
A small team of our AI experts. They have put AI workers into daily use at large companies.
What if Day 10 says "not yet"?
You pause, and you keep the full report and roadmap.
Are we locked in?
No. You decide at every gate.
How do you count savings?
Against your Week 1 baseline. Your CFO confirms each one.
What is MCP?
A standard way for AI to use your systems, through approved actions only.
Book your 2-week AI assessment.
Pick a time with our AI experts. We plan your ten days together.
It starts with a short call with our AI experts.