How we work
Start small. Earn the next step.
We start with a scoping sprint, prove value with a pilot, then build and run. Every step ends with a clear decision, so you never commit to more than you can see.
The path
Sprint, pilot, build, run.
Pick the workflow worth automating
Interviews, a data and integration audit, a ranked use-case list and a build plan with running costs.
Prove it on your data
One workflow, connected to real systems, measured against criteria agreed up front.
Ship it properly
Integrations, evaluation, monitoring, security review steps, documentation and handover.
Keep it working
Evaluation runs, model and provider updates, cost control and a monthly report.
What we need from you
An owner, access, and real cases.
- → one person who owns the workflow and can make decisions
- → read access to the systems and data the workflow touches
- → a set of real past cases to build the evaluation set from
- → the security and data rules your team already follows
Data and access
Your data stays in your cloud setup.
We build on Azure AI Foundry, Google Vertex AI, AWS Bedrock or Claude Platform, around where your data and identity controls already live.
- → least-privilege access, granted per system
- → secrets kept in your vault, not in code or prompts
- → logs of what every agent did and why
- → hard spending caps on every run
Questions
Before you book a call.
Do we have to commit to the whole path?
No. Each step ends with a decision. The scoping sprint produces a plan your team can act on with or without us.
Can we start at the build?
Yes, if you already have a clear specification. We'll still agree evaluation criteria before building.
Do you sign NDAs?
Yes. We work under NDA by default.
Book an AI scoping call
Bring one workflow. We'll tell you if an agent should run it.
or write to contact@byteandrise.com · we work under NDA