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Stratum
AI Strategy & Development

Most AI projects fail before anyone writes code.

They fail because nobody defined the use case, the data was not usable, or no one owned the result. We work in the order that avoids that: find the opportunity, prove it small, then build and deploy it properly.
AI use-case shortlist and bounded prototype checklist on dual monitors
The method

Four steps from relevance to use.

Assess, prioritise, prototype, then deploy — with ownership and evaluation built in from the start.

  1. 01

    Assess

    Where AI is genuinely relevant in your business, what data and process foundations exist, and what it is worth.

  2. 02

    Prioritise

    A shortlist of use cases ranked by value, feasibility and risk, with a roadmap and governance to match.

  3. 03

    Prototype

    A bounded build against one use case, tested against real operating conditions before anyone commits budget.

  4. 04

    Deploy

    Controls, evaluation, handover and adoption, so the tool is used after we leave.

Assess, Prioritise, Prototype and Deploy stages on a method wall
Build

What we build

  • LLM-powered internal knowledge and search tools
  • Focused AI assistants for defined business processes
  • AI-enabled workflow automation across existing systems
  • Document, contract and reporting processing tools
  • AI models or engines for a specific use case
  • Evaluation frameworks, testing and deployment controls
Deliverables

What clients get

  • An AI opportunity and readiness assessment
  • A prioritised use-case portfolio with a value and feasibility view
  • An AI governance and internal policy framework
  • A working prototype against an agreed use case
  • A pilot roadmap, evaluation criteria and adoption plan
Next step

Not sure whether you need a roadmap or a build?

Most clients do not know at the start, and that is fine. A short conversation is usually enough to tell you whether the next step is research, a roadmap, a prototype or nothing yet.

  • Roadmap or prototype clarity
  • Use-case prioritisation
  • No obligation to proceed
Discuss Your AI Priorities
Scope

What we develop: AI-specific tools, models, LLM applications and workflow solutions. Outside licensed scope: generic software, websites, mobile apps, SaaS, cybersecurity and managed IT services.