Map one workflow
Define the trigger, systems, owner, and manual baseline before deciding where AI belongs.
AI INTEGRATION FOR PRODUCT AND OPERATIONS TEAMS
AI Workflow Automation
Connect your inbox, CRM, and internal tools so repetitive work moves from intake to a reviewed action. Start with one repeatable workflow, representative inputs, and a clear owner.
Scope your featureBUILT FORTeams with a recurring manual workflow and accessible dataBusinesses connecting existing software rather than replacing itAn owner who can review real examples and approve acceptance checks
WHAT IS INCLUDED
From integration
through release.
Connect your tools
Integrate existing APIs, webhooks, and MCP tools with scoped credentials and explicit access rules.
Classify and prepare
Route incoming requests, summarize context, and prepare replies or record updates for review.
Approve consequential actions
Let a person inspect and approve external messages and important system changes.
Handle failures
Prevent duplicate actions, retry temporary failures, and surface exceptions with enough context to recover.
Observe and hand over
Track runs, latency, and usage costs; provide deployment instructions and an operational handoff.
HOW THE ENGAGEMENT WORKS
One feature. An agreed definition of done.
Start with a product walkthrough and sample inputs. I propose a bounded scope, timeline, and fee before implementation. The sprint includes integration, representative evaluations, release support, and a written handoff; ongoing maintenance is scoped separately.
Define the job and the boundary
Use real examples to specify the trigger, inputs, systems involved, success criteria, failure cases, and where a person must remain in control.
Connect context and tools
Add retrieval, structured context, and narrow tool contracts with least-privilege access, explicit state, cost limits, and safe retries.
Evaluate before expanding
Run representative cases, inspect failures, measure quality and latency, and widen permissions only when the workflow earns that trust.
STARTING POINTUseful first input: ten representative examples, the current manual workflow, the systems involved, and the decision a human makes today.
TECHNOLOGY
Selected for the app.
TypeScriptPythonOpenAIAnthropicREST APIsWebhooksPostgreSQLMCP
RELATED PRODUCT WORKIndependent tool integration: Murmur MCP
RELATED WORK AND NOTES
Apps and engineering
decisions.
COMMON QUESTIONS
Scope and delivery.
What should we bring to the first call?+
A walkthrough of the current process, representative inputs, the tools involved, and the result you need. We agree the scope, timeline, fee, and acceptance checks before implementation.
Does this replace human review?+
The first release prepares results for review. We test failures and permissions before considering any unattended actions. Model usage, third-party costs, and ongoing maintenance are scoped separately.
DISCUSS THE PROJECT
Bring your product.
Define the next feature.
I’ll review the starting point and tell you whether the work fits the studio.
Scope your feature