For teams
Save time on searching, writing, checking, documenting or producing.
AI embedded in your company, serving your business.
Our AI consultants ship your artificial intelligence solutions where the work actually happens: in your tools, your processes, your teams.
- Use cases chosen for their impact, not for the demo
- Services running in production, secured and maintained
- Adoption measured, with the numbers to show it
Already trusting us
01 References
Agentic platforms built to last.
Engie, Harvest, Schneider Electric: each time a governed, secure, observable foundation that agents plug into one after another. Every engagement is detailed in its case study.
- 39
- engineers use the agentic platform we delivered every day Engie
- ~1B
- tokens processed in five months on that platform Engie
- 99%
- success rate on the e-signature agent Harvest Group
- 1
- person accountable for the result, end to end
Ongoing
Engie
Energy
AI for NAC: a governed agentic platform for Engie's network and security operations
We built an agentic platform from scratch on Claude and Amazon Bedrock AgentCore: 16 MCP servers, continuous evaluation, an agent registry, and per-execution cost and carbon tracking. 39 engineers use it every day.
- Platform & Teams
- Agents & Products
- Built on Claude
- 16
- MCP servers connected to network and security tooling
Ongoing
Harvest Group
Fintech / Wealth management
Harvest: one agentic platform for the whole group
We centralized every agentic use case in the group on an Amazon Bedrock AgentCore platform built on Claude: shared standards, guardrails, scoped roles and observability by default.
- Platform & Teams
- Agents & Products
- Built on Claude
- 26
- existing agents audited
Ongoing
Schneider Electric
Manufacturing
Schneider Electric: the Industrialization AI Hub, one agentic platform for four countries
Scoping, architecture and a working mock-up of a single agentic platform for the industrialization, automation and quality teams of the Industrialization Europe Hub, across France, Spain, Hungary and Germany.
- Scoping
- Platform & Teams
- Built on Claude
- 4
- countries served by one platform
02 Use cases
Concrete AI use cases, integrated into your operations.
Intelligence Partners helps companies turn AI into operational use cases, integrated with teams, business processes and existing products.
For business processes
Connect AI to documents, operations and existing tools.
For products and customer experience
Embed AI into products and services to improve the experience, personalise journeys and create new uses.
03 Our experts
AI takes several kinds of expertise. The firm brings them together.
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.
- 01
Forward Deployed AI Engineer
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.
- 02
AI Engineer
Designing and writing the code that runs the use case: agents, prompts, tools, orchestration, integrations, tests and shipping.
- 03
Data Engineer
Preparing, qualifying and connecting your data to the agents: data foundations, RAG, evaluation and answer quality.
- 04
Platform Engineer
The infrastructure that runs AI: cloud, MLOps and LLMOps, observability, reliability and cost control (FinOps).
- 05
Security & Governance Engineer
Access management, traceability, sensitive data, compliance and human oversight, built in from the design stage.
- 06
IT Integration Engineer
Connecting AI to your existing tools, workflows and systems: ERP, CRM, DMS and business applications.
- 07
Training & Adoption Lead
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
Want to identify the right AI use cases for your company?
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