The figures below are honest starting points—not fixed packages. Final scope, delivery plan, and price depend on discovery, integrations, data readiness, risk, and what already exists.
Every engagement begins by confirming the problem, constraints, acceptance criteria, and the smallest useful release.
Suitable for a focused AI interface, retrieval experience, internal tool, or compact automation workflow.
Suitable for an agent or retrieval system with an application, backend services, integrations, and operational controls.
Suitable for multi-system products, private deployments, phased platforms, or an ongoing engineering partnership.
Discovery exists to replace assumptions with a buildable plan.
Number of workflows, user roles, interfaces, platforms, and release requirements.
Source quality, API availability, migration needs, permissions, and third-party dependencies.
Retrieval complexity, tools, evaluation, latency, review paths, and acceptable failure modes.
Hosting, environments, monitoring, documentation, maintenance, and response expectations.
Explain the problem, users, current tools, and urgency.
Clarify constraints, dependencies, data, and decision points.
Define the smallest release that can create or test value.
Set out scope, assumptions, milestones, and commercial terms.
Engineer in visible increments with regular review.
Use operational evidence to guide what comes next.
Share your workflow, current systems, desired outcome, and timeline. We will use discovery to define a credible scope.