White label AI for consultancies and integrators. You hold the client and the relationship. We add the delivery capacity. Agents build to a work package and an acceptance test you agree, every change is reviewed and tested, and the result is handed over to you, under your brand if you want it.
At least 3x improvement on the process we take on, with our fee tied to it.
One work package, such as a connector, an agent, an evidence workflow or a prototype, built to an acceptance test you agree up front and running in the client environment.
In your client’s own Azure tenancy, or yours, with data kept in-country. Models are accessed through Microsoft Foundry and never trained on your client’s data.
Against the acceptance test written into the work package. Where the package serves a measurable process, also against a baseline agreed before work starts.
One defined work package, scoped with you, built by Sendient and accepted against your test. You add AI delivery to a client programme without hiring a team first, and you keep the client relationship throughout.
Clients are asking consultancies and integrators for AI delivery now. Hiring and training a team first is slow, and a client programme cannot wait for it.
A delivery partner fills that gap, as long as the scope is written down, the quality is tested, the client relationship stays yours and the handover is clean.
A white label AI delivery partner for consultancies, integrators and Microsoft and Azure partners.
We work with consultancies, systems integrators, Microsoft and Azure partners and managed service providers whose client programmes need AI delivery capacity they do not have in house today.
You keep the client, the account and the programme. We take on a defined piece of the build, to your scope and your acceptance test, and hand it back to you.
The programme is sold or close to it, and the AI part needs people who have built this kind of system before.
Your engineers are busy on the rest of the programme, and a defined package can be handed to a partner without slowing them down.
A prototype on a sample of the client’s process shows what is possible before the full scope is agreed.
Connectors through MCP, agents with approvals, retrieval over documents or evidence checked against a standard.
Each work package is one defined piece of a client programme, with its own acceptance test and handover. These are examples. Every package is scoped to the programme it serves.
One governed connection between an agent and a client system, through the system’s own API or an MCP server, with identity, least privilege and write actions behind approval.
You are left withA deployed connector with an audit trail of every call, its tests and a runbook.
An agent that reads, checks and drafts within one defined task, with a person approving what matters and every action logged.
You are left withA working agent in the client environment, with its approval points, tests and documentation.
Assessment as a service. Evidence checked against a standard the client authorises, clause by clause, with the evidence shown behind every finding and a qualified person confirming each outcome.
You are left withA working evidence workflow run on agreed past cases, with every finding linked to its evidence.
A prototype your client can click, built on a sample of their own process, to show what works before the full build is scoped.
You are left withA working prototype, the agreed test cases it passes and a written specification ready for the build.
Answers from the client’s own documents and systems through SmartRetriever
, our own product, which combines vector, keyword and graph retrieval. Every answer is cited and limited to what each person may see.
A live, permission aware answer service on the client’s documents, with every source shown and every query logged.
Software built by agents in parallel workstreams to a written specification, with UI and UX design in scope, so it is pleasant to use as well as correct.
You are left withTested software deployed to the agreed Azure environment, as ordinary, readable code with documentation.
An AI workflow inside the client’s own Azure tenancy, with models accessed through Microsoft Foundry, retrieval over their documents and agents connected to their systems.
You are left withA working workflow in the Azure the client already runs, with identity, permissions and an audit log on every request.
Ongoing running and improvement of a workflow already in production, with monitoring and scheduled quality checks, inside a support boundary agreed up front.
You are left withThe workflow kept running and improving, with every change made through the same reviewed and tested pipeline.
Email solutions@sendient.ai or send the form. We talk through the work package in general terms, under a non-disclosure agreement if you want one, and say plainly whether it suits us.
We write down the scope, what you provide, the acceptance test, the branding option and the handover terms. Nothing starts until you agree it in writing.
Agents build in parallel to the written specification. Every change is reviewed and tested, and you see progress at the review points we agree.
We demonstrate the work and run the acceptance test with you. The package is accepted when it passes that test.
You receive the code, the specification, the tests, the documentation and a runbook, so your team or your client can run and extend it.
We can keep the work running and keep improving it, inside a support boundary agreed up front. Or the work stays with you and we step back.
How we appear to your client is your choice. It is agreed per work package and written into it.
We deliver as part of your offer. The work, the documents and the handover carry your name.
Sendient appears alongside you as your delivery partner, where that helps your client.
We appear under our own name as your delivery partner, with you leading the client relationship.
Our people can work as part of your delivery team, in your channels and to your ways of working.
Documentation can be written in your own template, so the handover sits with the rest of your programme.
Ownership of the code and the work, the licence for anything we bring, such as our own products, and how the handover happens are all agreed in writing before any build starts. Nothing is left to settle at the end.
A non-circumvention approach is offered as part of those terms. Put plainly, we do not approach your client for work, and the terms say so.
| In the handover pack | What it is for |
|---|---|
| The code | Ordinary, readable code in the repository named in the work package. |
| The specification | The written specification the work was built and tested against. |
| The tests | The automated tests and the acceptance test, so anyone can check the work still does what was agreed. |
| The documentation | How it is built and configured, in your template if you want it. |
| A runbook | How to deploy it, run it, monitor it and recover it. |
| The support boundary | What we support after handover, what your team owns and how a change is requested, agreed up front. |
Email solutions@sendient.ai and we will arrange a non-disclosure agreement before you share anything about the work or your client.
Ask for a non-disclosure agreement by email. We put it in place before you share any detail.
No end client details. A general description of the work package is enough to start.
Client data stays in the environment agreed in the work package, protected before any model sees it, and never used to train models.
There is no rate card. Every work package is scoped and priced per engagement, on a call, once we understand what it involves.
We talk through the work package, what you provide and how it will be accepted, then propose a fee for that package.
Where a package targets a measurable process, such as time per case or cases handled per person, the fee can be tied to at least 3x on that measure, against a baseline agreed before work starts.
Where a package is a defined build, such as a connector or a prototype, it is accepted against its acceptance test.
The scope, the fee basis, the acceptance test and the handover terms are written into the work package before any build starts.
Each package ends with something running in the client environment, accepted against a test.
Identity, permissions, approvals and an audit trail built in from the first change.
Documentation written to your standards, so it sits with the rest of your programme.
Code, specification, tests, documentation and a runbook, so you can run and extend it.
The work package becomes a written specification and an acceptance test before any code is written.
Agents build to that specification in parallel workstreams, and people approve what ships.
Every change is reviewed and tested against the specification before it is accepted.
The acceptance test agreed up front decides when the package is done.
Run and improve. After go live we keep the work running and keep improving it with you.
For a partner work package, a build is accepted against its acceptance test. Where the package serves a measurable process, 3x is measured on that process against a baseline written into the work package before we start.
At least 3x improvement on the process we take on, with our fee tied to it.
How we charge →The same agentic pipeline built Sendient’s own products, which are the same kinds of system we deliver for partners. These are ours, not client work.
Checks evidence against any standard, clause by clause, and shows the exact evidence behind every finding. A qualified person confirms every outcome.
Gives answers from your documents and systems, current, cited and permission aware, with every source shown and every query logged.
Runs first interviews in Microsoft Teams, matches CVs to jobs on meaning and screens candidates, with people making every hiring decision.
Marks written and typed work against your rubric, drafts feedback for the teacher to review, and runs oral assessment in Microsoft Teams.
Every system we build keeps a person in charge of the outcome, and every action is logged.
Data is classified and protected before any model sees it, and access follows each user.
Built on Microsoft Azure, in Sendient’s tenant or your own, with data kept in-country.
We never train models on your data. What you share stays yours.
Sendient holds Cyber Essentials Plus, ISO 27001, ISO 9001 and Investors in People. See our certifications
Testing, inspection and compliance. Any standard, more than 100 integrations and a mobile app for inspections on site.
See SmartAssessor →
For schools, universities and professional bodies. Marks written and typed work, detects AI, tailors learning and runs oral assessment in Teams.
See SmartEducator →
Agent-led interviews in Teams, CV and job matching on meaning, screening and shortlisting, working around the clock.
See SmartRecruits →The right context for every person, department, location and country, with security and privacy built in.
See SmartRetriever →Something else on your mind? Ask us directly and a person will reply.
Ask a questionYes. We can deliver under your brand, under joint branding or as Sendient. The choice is agreed per work package and written into it, and documentation can be written in your template.
You do. You hold the relationship. Our people can join client sessions as part of your team where you want them to, and the terms can say that we do not approach your client for work.
Ownership, licences and handover are agreed in writing before work starts. The handover pack holds the code, the specification, the tests, the documentation and a runbook.
Yes. Email solutions@sendient.ai and we will arrange one before you share anything about the work or your client. The first form never asks for end client details.
The work is built to a written specification, every change is reviewed and tested, and the package is accepted against a test agreed with you before work starts.
Built on Microsoft Azure, in Sendient’s tenant or your own, with data kept in-country. Models are accessed through Microsoft Foundry, and we never train models on your client’s data.
Talk to us about it. Our own products, such as SmartRetriever and SmartAssessor, can form part of a work package, and how they are licensed for your client is agreed in writing per package.
Email solutions@sendient.ai or send the form on this page with a general description of the work package. A person at Sendient will reply to arrange a scope call.
Describe the work package in general terms and tell us whether you are buying for your own organisation or delivering for a client. Please do not name your end client. For a non-disclosure agreement first, email solutions@sendient.ai.
At least 3x improvement on the process we take on, with our fee tied to it.
Thank you, . A person at Sendient will reply to your work email.
Bespoke software built by agents to a written specification, reviewed and tested, with the interface designed in.
Read more →
Your email, calendar, Teams, documents and business systems connected to AI through MCP and APIs, safely.
Read more →
A short, fixed review that ranks your processes, picks the first and shows it working on your own data.
Read more →At least 3x improvement on the process we take on, with our fee tied to it.
