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Build AI on solid ground

I help organisations put data and AI to work, from framing the right problem to solutions that scale and last, built on proven methods and a solid data foundation.

Ahmed Bakir · Data scientist and AI consultant

How the work runs

An iterative cycle with your data at the centre. Each pass sharpens the problem, the data and the solution.

Your data

  1. FrameAI strategyin parallel
  2. AssessData foundationin parallel
  3. PrepareData foundation
  4. ProveBuild
  5. EvaluateBuild · AI strategy
  6. Deploy and sustainBuild

Repeat: each cycle starts from what the last one taught

  1. Frame. Define the business problem, how success will be measured and the expected return.
  2. Assess. Test whether your data can support it, alongside framing the problem.
  3. Prepare. Fix, combine and shape the data the use case needs.
  4. Prove. Build a proof of concept on your own data.
  5. Evaluate. Check the results against the business case, then scale, adjust or stop.
  6. Deploy and sustain. Put it into production, monitor it, and feed what you learn into the next cycle.

Grounded in established industry frameworks for analytics and data management.

How I can help

Most AI projects do not fail at the model. They fail earlier, on a goal nobody can measure or on data that cannot support it. I work on both before anything is built, then build what the evidence supports.

Frame · Evaluate

AI strategy

Link AI to your business strategy: the few areas where AI can move a measurable result, a roadmap with KPIs, and the governance to deliver it.

Assess · Prepare

Data foundation

Find out what your data can support before you invest in AI: its quality, its readiness for your planned use cases, and a ranked list of fixes.

Prove · Evaluate · Deploy

Process automation build

I take one process, such as supplier invoices, month-end reporting or customer queries, and automate it end to end with AI agents connected to your existing systems. Fixed scope, working software at the end.

See how each service works →

Results from past work

About

I'm a data scientist who started in enterprise systems. After ten years implementing ERP, CRM and BI for corporate clients, I moved into data science in 2012 and have built machine learning and AI solutions across sectors ever since.

Enodos is the independent consulting practice of Ahmed Bakir.

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Have a process that needs untangling?

Book a short call. I will tell you plainly whether AI is the right tool for it.

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