Approach
Agentic platforms need a delivery approach that joins experimentation with operational accountability. We work from a bounded task toward a platform your team can run.
Business owners and domain experts shape the acceptance criteria. Engineering makes the agent’s actions, limits, and operating behaviour explicit.
Map the task, its users, the evidence it needs, and the decisions it can affect. Establish the intended outcome, current baseline, and named owners.
Specify permitted tools, data access, workflow states, human review, and escalation. Decide where deterministic rules should carry the work.
Develop the agent and its platform integrations using representative cases. Test unsupported answers, incorrect actions, missing data, and failure recovery alongside the expected path.
Agree acceptance criteria, rollout controls, monitoring, support responsibilities, and handover. Expand agent autonomy only when the evidence supports it.
Monitor quality and cost, examine exceptions, and curate feedback. Evaluate changes to knowledge, prompts, models, and tools before activating a new version.
We can help establish feasibility, build a defined platform, or develop the AI capabilities of an existing product.
A bounded assessment of opportunities, data readiness, agent responsibilities, and the architecture needed to proceed.
An agreed scope from agent design and integrations through evaluation, release readiness, and technical handover.
Iterative development of agents, knowledge, evaluations, and operations against a prioritised roadmap.
Bring us a workflow, a platform idea, or an operational challenge.
BrainRivet