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AI adoption & scaling

From idea to pilot.
And onwards – to scale.

Most AI projects stall at the trial stage. We work alongside your team the whole way – from the first idea to a working pilot, and on to scaling into production, where AI starts to deliver a real return.

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Before and after
Before the programme
  • The ideas sound promising, but it isn't clear which one is technically feasible and will pay for itself
  • The team lacks the experience to take an AI idea from concept to a real result
  • Even successful trials stay at "proof" stage and never reach everyday use
  • It isn't clear how to get from a single pilot to using AI across the whole organisation
After the programme
  • You know exactly which ideas are worth developing and what return they are forecast to deliver
  • A working pilot that solves a real task in your organisation
  • Your team keeps the knowledge to maintain and develop the solution itself
  • A ready plan for scaling the solution into production and across other teams
How it works
Step 01
Preparation session

We define the ideas, form the team, take stock of the data and set the goals for the sprint.

Step 02
Sprint sessions

Three-hour sessions in person at the client's office. Between sessions, AI Master Lab experts work on the solution within the client's team.

Step 03
Presentation of results

To close – a summary and presentation of the results. The client's team builds its own in-house know-how in AI.

Where we go next

Scaling – the step where most stop.

Plenty of people build an impressive demo. Some get as far as a pilot. But few take an AI solution all the way to scale – to the point where it runs day to day across the whole organisation and delivers a real return. That is exactly where our work begins.

How we work together
Phase 01
Idea validation and PoC
EUR 5,000 + VAT
up to 5 ideas · 2–3 sprints · up to 1 month
Outcome: Validated ideas and/or a PoC for one idea
Phase 02
MVP development
EUR 10,000–20,000 + VAT
one idea · 3–5 sprints · up to 2 months
Outcome: A working AI solution with the minimum necessary functionality, letting you assess the benefits it delivers, the costs and the potential ROI
Phase 03
Scaling
By agreement
one validated solution · rollout into production · multiple teams
Outcome: The AI solution runs day to day across the whole organisation, with maintenance and further development.
The expert team
Agris Šnepsts
Agris Šnepsts
Team Lead · Project Manager

An experienced software project portfolio manager with a strong track record in delivering IT projects, programmes and services. Strong in IT strategy, business process analysis and delivery methodologies.

Armands Brants
Armands Brants
AI Architect · Developer

25+ years in IT. Proven expertise in software development, IT infrastructure, cloud solutions and digital transformation. Experience in AI solutions, automation and building scalable platforms.

Jānis Judrups
Jānis Judrups
Data Analyst · Data Curator

Doctor of engineering in IT, certified project manager (PMP) and Scrum Master. 20+ years' experience developing digital solutions. Associate Professor at LBTU, specialising in data governance and AI training.

Portfolio
The problem

Preparing bids from procurement specifications and technical documents took a great deal of time – the process was manual and resource-intensive.

What we did

We built a proof of concept – an AI solution that reads the procurement requirements, matches them against the database of products held in the warehouse and prepares the bid.

The result

80% of the bid is now prepared automatically. The team validates and adds to it – rather than building it from scratch. Requirements for developing the solution further were identified.

Next steps

Refining and extending the AI solution to work with procurement in other sectors.

80%
Bids prepared automatically – the team only validates
3–8 weeks
From idea to a working demo or PoC
The solution
Manufacturing sector · Procurement automation

From idea to scale –
with an expert team.

Book a call with our project manager to find out how the process works and whether it suits your organisation's situation.

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