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Focus on measurable ROI
Use cases are scored on value, feasibility and risk, so budget goes to the initiatives most likely to pay back.
Boards want an AI plan; teams are already experimenting with a dozen tools. An enterprise AI strategy turns that energy into a short list of initiatives that measurably pay off — and a safe way to deliver them.
We start with an AI readiness audit of your data, systems, skills and risks, then rank use cases by return on investment and feasibility. You get a governance framework covering model choice, data handling, security and acceptable use, and a pilot-to-production plan that avoids the common trap of endless proofs of concept. We're model-agnostic — OpenAI, Anthropic Claude, Google Gemini or private open-source models — and because we build as well as advise, the first priority arrives as a free working mockup, with fixed-price phases after that.
The problem
Most organisations have run AI experiments, but few have moved them into production at scale. Pilots stall on data access, security reviews, unclear ownership or no measurable business case — while employees adopt unapproved tools on their own.
Why it pays
AI readiness audit, ROI-ranked use-case roadmap, governance and a pilot-to-production plan for the enterprise.
Use cases are scored on value, feasibility and risk, so budget goes to the initiatives most likely to pay back.
A practical framework for data handling, model selection, security and acceptable use that enables teams rather than blocking them.
A reference architecture that can use OpenAI, Claude, Gemini or private open-source models — and switch as the market moves.
Each pilot has success metrics, an owner and a production path defined before it starts.
Training and change management so teams use approved AI tools confidently and safely.
How we deliver
Every engagement starts with a free working mockup, then a fixed-price build — no hourly drift, no surprises.
We assess your data, systems, skills, current AI usage and risk posture through interviews and technical review.
We gather and score opportunities across departments by ROI, feasibility and risk.
We define policies, model-selection rules and a reference architecture that security and IT can approve.
A free working mockup of the top use case, then a fixed-price plan to pilot, measure and scale.
Spec sheet
Fixed scope, agreed up front. You own everything we deliver — code, models, assets and documentation.
Use cases
Patterns we build again and again — adapted to your data, your tools and your customers.
Secure research and document assistants with clear policies on data handling and model use.
Prioritise forecasting, maintenance and supply-chain use cases with defined data foundations.
Target documentation, scheduling and claims workflows where AI reduces admin load under strict data controls.
Roadmap support automation, personalisation and visual content production with clear ROI targets.
Models & tools
Model-agnostic by design: we pick per task and switch when something better ships.
In motion
Real output from our production pipeline.
Packages
Fixed price, quoted after a short scoping call — and only after you've seen the free mockup.
An assessment of data, systems, skills and risk with a ranked shortlist of use cases.
Ranked use-case shortlist
The full strategy: governance, architecture, ROI-ranked roadmap and a working mockup of the first use case.
Board-ready plan + prototype
FAQ
Still curious? Ask AURA, or email us and a human replies within one business day.
A readiness assessment, a prioritised list of use cases with business cases, a governance and security framework, a reference architecture and a pilot-to-production roadmap. We also deliver a working mockup of the top-priority use case.
Each candidate is scored on expected value, feasibility (data, systems, skills) and risk. The result is a ranked list showing which initiatives to fund first and why.
No. We're model-agnostic and design architectures that can use OpenAI, Anthropic Claude, Google Gemini or private open-source models, so you can switch as pricing and capabilities change.
Governance is a core deliverable: data classification, approved tools and providers, retention, access control and review processes, designed with your security and legal teams.
Yes. We build AI agents, automations, integrations and private AI platforms, so the same team can take the top use cases into production — or support your internal teams.
A typical engagement runs four to six weeks from kickoff to a board-ready roadmap and working mockup, depending on organisation size.
Strategy work is quoted at a fixed price after an initial call. The first use-case mockup is free, and implementation phases are each fixed-price.
Keep exploring
Process and systems modernisation, product discovery workshops and costed roadmaps that end in a working prototype.
LLMs, search and assistants that run inside your own network — secure RAG on private data, with full audit trails.
Production-grade integration of OpenAI, Claude and Gemini — agents, tool use, evals, guardrails and multi-provider failover.
Audit your OpenAI, Claude and Gemini spend and cut it with routing, caching, batching and open-source offload — quality held constant.
Tell us the outcome you need. We build a working mockup of the render, workflow or agent — at zero cost — so you judge results, not pitch decks.