                [DIAGNOSTIC_SESSION]

Decide if custom AI is actually worth building for your workflow.

A 45 to 60 minute technical discovery, not a sales pitch. We evaluate your current stack to help you decide if it's worth building a custom semantic retrieval engine at all.

This Session Delivers:

Map the architecture needed to solve your context leaks

Evaluate constraints and operational overhead of your current stack

Give a clear go/no-go and fixed-price quote if building makes sense

BOOK INFRASTRUCTURE AUDIT $500 credited toward build if you proceed

                    [INTAKE_FORMS]

Technical Context & Intake

Provide your core details and I’ll prepare the technical mapping for our session.

                            [STEP_01: CONTACT_INFO]

Work Email *

Company Name *

                            [STEP_02: WORKFLOW_MAPPING]

Which workflow feels heaviest on manual search and glue work right now? *

Roughly how often does this workflow occur? *

How many people are involved in this loop? *

                            [STEP_03: INFRASTRUCTURE_DISCOVERY]

Systems Involved:

CRM / Ticketing Document Storage Field / Ops Tools Other

Where do related documents usually live for this workflow? *

                            [STEP_04: COMMITMENT_VALIDATION]

Access Approval Can someone on the call approve access (exports/API keys/connectors) in principle? Budget Approval Can someone on the call approve budget in the $4k to $8k range if the build makes sense?

Anything else I should know before our session?

100% private: your data stays in your cloud.

Our Commitment to System Constraints

We evaluate systems based on reliability and support volume. If your workflow is better served by a strict relational database change or native SaaS features rather than a semantic retrieval engine, our final technical plan will state that exactly. We only propose Capital Sprints for bottlenecks that mandate custom orchestration.