Services · Custom AI agents
Hand off the
repetitive work.
We build an AI agent for your workflow, in your own Microsoft environment. A person approves the actions that matter. You get a fixed price, and you own what we build.
- Category
- Custom build
- Industries
- All industries
- Typical timeline
- 8–12 weeks
- Delivery
- Fixed price · Our engineers work as part of your team
- Built on
- Azure OpenAI · Microsoft Fabric · Power Automate · SharePoint · Dynamics 365
/01 · How we’d scope your agent
Tell us the problem. Here’s how we’d scope the answer.
Pick a sample problem to see how we’d scope an agent for it. It shows the data the agent reads, what it does, where a person stays in control and what it delivers. It’s illustrative, but it’s how the two-week review works.
Bring us your actual problem →
Book a 30-minute call →/02 · The problem
The best agent for your problem usually isn’t one you can buy off the shelf.
Your problem doesn’t fit a ready-made tool.
Your workflow is specific to your industry, your systems and your team. Generic agents solve generic problems.
You know what you need but can’t build it.
You know the problem better than anyone. We bring the AI engineering. Good agents need both.
You’ve been burned by AI projects that never shipped.
Vague scope and open-ended billing sink AI projects. A fixed price and agreed milestones mean you know what you’re getting before we start.
/03 · What you get
A custom build, without the usual custom-build risk.
The agent connects to the systems your workflow already uses, such as your ERP, CRM and SharePoint.
A person approves key actions
The agent reads, checks and prepares the work. A person signs off anything that matters before it happens.
Certainty before you commit
Scoped to an agreed outcome at a fixed price, not an hourly estimate. You know the price and the milestones before we write any code.
An asset you own outright
Built in your own Microsoft environment. You own 100% of the code, data models and integrations, with no lock-in.
Built on data that holds up
We won’t build an agent on data that isn’t ready. We fix it first, so the agent works from accurate records.
/04 · How we build it
Four steps from a frustration to a working agent.
- /01
Review the problem
Two weeks, fixed fee. We map the workflow, the data and the outcome the agent must deliver. You get it in writing.
Written problem statement and agent design
- /02
Scope the build
You get a fixed-scope, fixed-price proposal, not a time-and-materials estimate. Then you decide whether to go ahead.
Fixed-price proposal with milestones
- /03
Build with your team
Our engineers build the agent on your systems. You see it at every milestone, not after weeks of silence.
Working agent in your environment
- /04
Launch and hand over
We launch the agent, train your staff and hand over the documents. Ongoing support is there if you want it.
Production agent and handover documents
/05 · Cost, timing and terms
Start with the problem, not a contract.
Every build starts with a two-week fixed-fee review. It turns a frustration into a scoped problem and a fixed-price proposal. If the build isn’t worth it, or a simple workflow or report would do the job, we’ll say so.
Typical timeline for Custom AI agents: 8–12 weeks
Book a 30-minute call →Work our team has delivered: a tier-2 construction subcontractor cut total tender response time by 60%. Its first agent-drafted tender went out 21 days after kickoff.
Some of this work was delivered by Reenva's founder and team before Reenva was formed.
/06 · Questions buyers ask
Your questions about custom AI agents, answered.
/07 · Your next step
Bring us the problem you can’t buy a tool for.
Then a two-week fixed-fee review and a fixed price. You own everything we build.