Representative examples from MarTech, AdTech, and internal platform work. Names are generalized where needed, but the operating patterns are the point.
The team needed internal development tools, advertising workflows, and analytics reachable from one agent surface without punching holes through governance. We built a connector pattern that shipped quickly and could be owned by their platform team after handoff.
Useful operational data was spread across internal services, warehouses, and ad systems. Agents could assist with work, but not safely reach the facts needed to complete it.
We defined reusable MCP server patterns for tool schemas, scoped auth, logging, and release workflows, then implemented the first wave of production connectors.
Teams moved from manual lookup and pasted reports to agent-assisted workflows with traceable data access and a codebase their engineers could extend.
These are the patterns we keep seeing across teams that have real data, real compliance needs, and real pressure to move.
Marketing and lifecycle teams could ask about audience definitions, overlap, and activation readiness without pulling engineering into every lookup.
Optimization agents could inspect spend, pacing, and creative performance from trusted sources instead of copied spreadsheet exports.
Briefs, asset metadata, campaign status, and review steps became available to agents without bypassing the team's existing approvals.
Permission boundaries, observability, eval fixtures, runbooks, and readable code. The visible output is an agent doing something useful. The durable value is your team knowing exactly how it works.
✓ typed tool schemas
✓ per-user scoped auth
✓ audit logging
✓ eval scenarios
✓ deployment docs
✓ owner handoffBring the systems agents need to reach and the constraints they need to respect. We will tell you what is worth building first.