Put AI into the way the business works
From valuable use cases to changed ways of working: opportunity and ROI, AI agents, workflow and system integration, and ongoing adoption.
Those four agents came out of the SpeedLogs and Think-Bridge engagements. They are custom deliveries, not listed products; eight other agents are on ClawdMart today. Figures describe delivery scale, not usage effect.
Four stages
You can buy any one of them on its own. The common path is advisory → service design → agent delivery → implementation support, but a use case that is already well defined can go straight to build.
AI advisory and technology selection
Do the arithmetic before writing code: inventory the use cases, decide which are worth automating, choose models and tooling, and put cost and risk boundaries in writing.
Project-based, scoped per engagement02Design Thinking service design
Design thinking workshops that turn a vague AI ambition into a buildable product definition: interview users, map the journey, prototype cheaply, disprove weak ideas early.
Priced by workshop days03AI agent delivery
Turn a defined business scenario into an AI agent that runs in production: connected to your data and systems, with human fallback, acceptance metrics and an operations manual.
Priced by number of agents and integration complexity04Hands-on implementation support
A monthly engagement that solves "we bought the tool and nobody uses it": define usage metrics, train the frontline, review weekly, change the process until AI is the default.
Monthly retainer, scoped per engagementThis page in Chinese: AI 业务变革