Too many ideas, no clear priority
Leadership needs to know which use cases create value and which are distractions.
AI Strategy & Audits
AI consulting, LLM audits and evaluation
We help leadership and engineering teams decide what to build, audit what they already have, and prove that AI systems work. Engagements range from a focused strategy session to full LLM system audits, evaluation suites and hands-on mentoring for your developers.
What you can expect
- A clear, prioritized AI roadmap
- Independent evidence of quality and risk
- A team that can build and run AI with confidence
(01) The problem
Why teams come to us for AI Strategy & Audits.
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Inherited systems nobody understands
A vendor leaves, and a production LLM system arrives without documentation or tests.
Quality you can't prove
Stakeholders ask how accurate it is, and nobody has a number.
Teams new to agentic AI
Developers need practical guidance on LangChain, LangGraph and CrewAI patterns.
(02) Use cases
What we build with AI Strategy & Audits.
- 01
AI strategy and roadmap
Use-case discovery, feasibility, ROI and a sequenced delivery plan.
- 02
LLM system audits and handover
Architecture, prompts, retrieval, security and cost reviewed, with a prioritized report. We have delivered full LLM system handover audits.
- 03
Evaluation and QA
Golden datasets, automated evaluations and technical QA for chatbots and RAG systems.
- 04
AI code review
Review of AI-heavy codebases and pull requests for correctness, security and maintainability.
- 05
Team mentoring
Hands-on coaching in agentic frameworks for product and engineering teams.
- 06
Architecture reviews
A senior second opinion on designs before you commit budget.
Deliverables
Everything you need to run it in production.
- Use-case assessment and ROI model
- Architecture and vendor recommendations
- Audit report with prioritized fixes
- Evaluation datasets and an automated test harness
- Risk, security and compliance review
- Workshops, mentoring sessions and playbooks
Our approach
How we deliver reliable results.
- 1
Listen first
Stakeholder interviews and a review of your systems, data and constraints.
- 2
Measure, don't guess
Evaluations on real examples turn opinions into numbers.
- 3
Prioritize ruthlessly
Recommendations are ranked by impact, effort and risk.
- 4
Transfer knowledge
Your team leaves able to continue without us.
Proof
Related case studies, with real numbers.
Legal-techProduction platform
Datagreffe Justice
An enterprise legal AI platform for 50,000+ court decisions
- court decisions indexed
- 50,000+
- court decisions indexed
- PII detection accuracy
- 98%
- PII detection accuracy
- data-protection & OHADA compliance
- 100%
- data-protection & OHADA compliance
Digital mental healthProduction-ready MVP
Namhee
An AI mental-health companion with mood tracking and automatic risk detection
- pass rate on 11 core tests
- 100%
- pass rate on 11 core tests
- RAG response target
- <5s
- RAG response target
- crisis detection
- Risk-aware
- crisis detection
Enterprise AI & finance
MCP Multi-Tool Agent Platform
A governed agent platform with persistent memory and human approval before sensitive actions
- pluggable tool access
- MCP
- pluggable tool access
- sensitive calls human-approved
- 100%
- sensitive calls human-approved
- memory across restarts
- Persistent
- memory across restarts
Also delivered
- LLM system handover audit with a written report
- Technical QA for a production AI chatbot
- AI pull-request review for a consulting firm
- Mentoring a product team on CrewAI, LangChain and LangGraph
- Expert consultations rated 5.0★
Technology
Tools we use for AI Strategy & Audits.
Model-agnostic and cloud-agnostic: we pick the right components for your data, budget and compliance requirements.
- RAGAS
- DeepEval
- Promptfoo
- LangSmith
- Langfuse
- LangGraph
- CrewAI
- LangChain
- Python
Industries we serve
Engagement models
Flexible ways to work, one standard of delivery.
Start small with a discovery sprint or an audit, or go straight to a production build. Most projects start from $5,000, scoped after a free strategy call.
1–2 weeks · fixed scope
AI Strategy & Discovery Sprint
Teams validating an AI opportunity before committing a budget.
- Use-case and ROI workshop
- Data and systems audit
- Architecture blueprint
- Risk and compliance review
- Build plan with estimates
4–12 weeks · milestone-based
Production Build
A defined RAG platform, AI agent, automation or AI product, delivered end to end.
- Architecture and full build
- Evaluation suite and QA
- Security and compliance controls
- Deployment and monitoring
- Documentation and handover
Monthly retainer
Dedicated AI Engineering
Product and platform teams with an ongoing AI roadmap and no time to hire.
- Senior AI engineering capacity
- Weekly planning and demos
- Continuous evaluation and monitoring
- Model and cost optimization
- Scale up with vetted specialists
1–3 weeks · fixed scope
AI Audit & Evaluation
An existing LLM, RAG or agent system that underperforms or is changing hands.
- Architecture and code review
- Answer-quality evaluation
- Security, PII and compliance review
- Cost and latency analysis
- Prioritized remediation report
Not sure which model fits? A free 30-minute call is enough to decide.
Book a free strategy callAI Strategy & Audits FAQ
Common questions about AI Strategy & Audits.
Can't find your answer? Ask us on a free strategy call or send a short brief.
What does an AI audit include?
A review of architecture, prompts, retrieval, data handling, security, evaluation coverage, cost and documentation, ending in a written report with prioritized, actionable fixes.
How do you evaluate an LLM or RAG system?
We build a golden dataset of real questions with expected answers, then measure accuracy, faithfulness to sources, refusal behavior, latency and cost automatically.
Can you take over a system another vendor built?
Yes. Handover audits exist for exactly this: we document how it works, what is risky and what to fix first.
Do you offer short consultations?
Yes. A free 30-minute strategy call is the starting point, and paid deep-dive sessions are available for specific questions.
Do you train in-house teams?
Yes. We mentor developers on agentic frameworks, RAG patterns and evaluation practice.
Taking on new projects
Let’sbuild.
Have an AI project in mind? Let’s make it real.
Book a free 30-minute strategy call with our founder. You’ll leave with a clear view of the right architecture, timeline and next step, whether or not we work together.
- Reply within 24 hours
- NDA before you share anything confidential
- You own the code, prompts and documentation
- Hours overlap with US, UK, EU and Gulf teams