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AI strategy consulting

Decide where AI pays back — before you spend on it

Short, fixed-scope engagements run by engineers who build and operate production AI. Each ends in a concrete deliverable leadership can act on: a ranked roadmap, an audit, an architecture or a business case.

Book a discovery call

Builders, not slide-makers

Advice comes from the team that deploys AI products on-prem in Azerbaijan, so recommendations are grounded in what actually runs.

Vendor-neutral

We recommend what fits — including options we don’t sell, and including “don’t build this”.

Fixed scope, fixed output

Every package has a defined duration, participants and deliverable agreed up front.

Packages

Seven fixed-scope engagements

01 2–3 weeks

AI use-case discovery sprint

For: Leadership teams starting with AI or reprioritising a scattered pilot portfolio.

What we do

Workshops with business owners, a data-readiness check and value/feasibility scoring of candidate use cases.

You receive

  • Ranked use-case portfolio with value and effort
  • Data-readiness assessment
  • 90-day roadmap with the first pilot scoped
02 2 weeks

AI infrastructure audit

For: IT leaders planning on-prem or hybrid AI, or unsure whether current infrastructure can run it.

What we do

Review of compute, storage, network, security and MLOps against your target AI workloads.

You receive

  • Gap analysis against target workloads
  • Sizing for GPU servers, storage and network
  • Reference architecture and bill of materials
03 2–4 weeks

LLM fine-tuning & custom model strategy

For: Teams deciding between prompting, retrieval, fine-tuning or a sovereign model.

What we do

Evaluation of candidate approaches on your own tasks and data, including Azerbaijani-language performance.

You receive

  • Evaluation set built from your cases
  • Approach comparison with measured results
  • Recommended model, data and hosting plan
04 2 weeks

AI cost optimisation audit

For: Organisations with growing AI spend — API bills, GPU clusters or licences — and unclear return.

What we do

Analysis of usage, models, tokens and infrastructure against the value each workload delivers.

You receive

  • Cost baseline per workload
  • Savings options: model choice, caching, on-prem vs cloud
  • Prioritised action plan
05 3–4 weeks

Agentic workflow design

For: Process owners who want AI agents to take on multi-step work safely.

What we do

Process mapping, agent and tool design, approval gates, failure modes and a measurable pilot definition.

You receive

  • Target workflow with human checkpoints
  • Agent architecture and integration map
  • Pilot plan with success metrics
06 3–6 weeks

AI procurement & vendor selection

For: Procurement and IT teams buying an AI platform, model or integrator.

What we do

Requirements, market scan, RFP support and structured evaluation of shortlisted vendors on your data.

You receive

  • Requirements and evaluation criteria
  • Vendor shortlist with scored evidence
  • Contract and SLA recommendations
07 2–3 weeks

AI ROI & business case development

For: Sponsors who need board or investment-committee approval for an AI programme.

What we do

Benefit modelling, total cost of ownership, risk assessment and a phased investment plan.

You receive

  • Business case with TCO and ROI
  • Risk and compliance assessment
  • Phased investment and governance plan

How we work

From first call to read-out

  1. 01

    Intro call

    We agree the question you need answered and pick the right package.

  2. 02

    Scope letter

    Participants, data access, timeline and deliverable confirmed in writing.

  3. 03

    Engagement

    Workshops, analysis and hands-on testing with your team.

  4. 04

    Read-out

    Deliverable presented to leadership, with a clear next step.

After the engagement, the same team can build it: see our AI products.

FAQ

Questions

Do we have to buy your products afterwards?

No. Deliverables are yours and vendor-neutral. If our products fit, we’ll say so; if they don’t, we’ll say that too.

Can packages be combined?

Yes. Discovery followed by an infrastructure audit or a business case is a common sequence.

Do you work under NDA and on-site?

Yes. We work on-site in Baku or in the regions, under your NDA and security rules, and data can stay on your systems throughout.

Which languages do you work in?

Azerbaijani, Russian and English — workshops and deliverables in whichever your team prefers.

Not sure which package fits?

Tell us the decision you need to make. We’ll recommend the shortest engagement that answers it.

Book a discovery call