For teams
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Our AI consultants ship your artificial intelligence solutions where the work actually happens: in your tools, your processes, your teams.
Already trusting us
Two first references, genuinely in use, on a foundation that's reusable from one case to the next. Technical detail remains available to your technical teams.
Energy
An AI-agent platform adopted by the network operations centre (NOC) teams: it triages the most frequent alerts and now autonomously resolves around half of recurring monitoring incidents, with a human in the loop on sensitive cases.
Why it matters: teams don't just save time on triage, they see recurring incidents get resolved, without ever losing control. Autonomy stays confined to deterministic, reversible cases validated by the team.
Read the case study
WealthTech · Wealth-management software
A shared agentic-AI practice, deployed across more than 20 engineering teams, from AI-assisted coding to vulnerability remediation, with common standards.
Why it matters: AI doesn't stay confined to a pilot team; it becomes a shared, governed and repeatable practice.
Read the case studyIntelligence Partners helps companies turn AI into operational use cases, integrated with teams, business processes and existing products.
Save time on searching, writing, checking, documenting or producing.
Connect AI to documents, operations and existing tools.
Embed AI into products and services to improve the experience, personalise journeys and create new uses.
An AI use case in production never rests on a single skill: you need to understand the business, prepare the data, build the infrastructure, secure it and drive adoption. The firm makes these expertises available, mobilised as your project needs them. The Forward Deployed AI Engineer carries delivery end to end, surrounded by the specialists each project calls for.
An engineer embedded in your teams: they carry a use case end to end, from business diagnosis to adopted production, and stay accountable for the result.
Designing and writing the code that runs the use case: agents, prompts, tools, orchestration, integrations, tests and shipping.
Preparing, qualifying and connecting your data to the agents: data foundations, RAG, evaluation and answer quality.
The infrastructure that runs AI: cloud, MLOps and LLMOps, observability, reliability and cost control (FinOps).
Access management, traceability, sensitive data, compliance and human oversight, built in from the design stage.
Connecting AI to your existing tools, workflows and systems: ERP, CRM, DMS and business applications.
Levelling up teams, acculturation and internal champions, so usage takes hold over time.
The right expertise, mobilised at the right moment, to take your use cases all the way to production.
The founder
« AI only creates value the day it truly runs, adopted by the teams. Our role: close the gap between prototype and production, and own the result end to end. »
A cloud and GenAI engineer, he designs and deploys AI platforms in production on AWS. He has led AI agents and data foundations in demanding environments (energy, finance, software), from data through to adopted usage. He founded Intelligence Partners with one simple conviction: turning the right AI use cases into services that actually run in production.
Dorian Richard
Founder · Intelligence Partners
Let's talk
In 30 minutes, we qualify your priorities, identify the first realistic use cases and define a simple path to measurable value. Describe your context in a few lines.