Workflow discovery
Map the business process, system-of-record constraints, and economic case for automation before we write production code.
AI consulting and implementation
We design and build AI tools for legal, manufacturing, construction, and professional-services teams: agents, MCP servers, document workflows, planning systems, and human-review pipelines that connect to the software already in use.
Paralegal time reduction on document-heavy litigation workflows
Manufacturing changeover-time reduction through sequence-aware planning
Operational digests moved from weekly reporting to day-by-day visibility
What we deliver
We help operators choose the right workflow, prove the economics, and ship the AI system. From first audit to live deployment, we own the engineering.
Map the business process, system-of-record constraints, and economic case for automation before we write production code.
Build AI agents, MCP servers, multimodal pipelines, and human-in-the-loop review flows that connect to the tools teams already use.
Ship with reporting, monitoring, and handoff paths so the system becomes part of daily operations after launch.
Representative results
Built an MCP server architecture across case management, accounting, email, and Teams. The system produces case-level financial health, follow-up, and court-date reports.
Redeployed a full-time data analyst from recurring reporting.
Built a document pipeline for appeal packets and client fact sheets inside the litigation process, with attorneys and staff reviewing outputs before submission.
Reduced paralegal time needed per case by 50%.
Created a planning tool that accounts for plant constraints, line specifics, and product-sequence effects that affect changeover time.
Reduced changeover time by 5%.
Built a video AI tool that streams from a worker phone and turns jobsite video into a daily list of completed tasks for progress reporting.
Removed a 30-minute daily reporting step and moved visibility from weekly to daily.
Built cost tracking for individual agentic workflows by client, project, and execution path so teams can see the operating expense behind each automated service.
Automatically assigned 60% of AI cost to client and project codes.
How we work
Start with a process that already has a measurable labor, speed, or quality cost.
DiscoveryUse actual documents, permissions, system APIs, and review steps early.
ValidationDeliver into email, Teams, line planning, case workflows, or the field tools already in use.
ImplementationTrack adoption and business impact so the system improves after launch.
OptimizationReady to evaluate a workflow?