Each offer starts with a defined business problem and ends with a working, measurable workflow. Scope, timeline, and investment are confirmed together during discovery; no outcome is guaranteed before we understand your process and data.
Find the bottleneck worth improving before you build.
Offer 01 · AI Opportunity Assessment
Best for: Teams unsure which workflow or AI opportunity to prioritize.
Problem: Promising ideas compete for attention without a clear owner, constraint, or success signal.
Deliverables: Workflow map, fit signals, constraints, risks, and a prioritized next step.
Timeline: Confirmed after the initial workflow conversation.
Outcome to measure: A defined opportunity, owner, and measurable success signal.
Discuss an assessment →
Remove the handoffs and copy-paste work between your tools.
Offer 02 · Workflow Automation Sprint
Best for: Operations teams repeating intake, routing, data-entry, or follow-up steps.
Problem: Work stalls between systems, and small errors create expensive rework.
Deliverables: Process map, integration design, exception paths, automation build, and runbook.
Timeline: To be confirmed after process and integration review.
Outcome to measure: Cycle time, manual touches, exception volume, and data completeness.
Map a workflow →
Build an AI operator around the rules your business already follows.
Offer 03 · Custom AI Agent Development
Best for: Teams with a repeatable process that does not fit an off-the-shelf product.
Problem: Specialized decisions depend on tribal knowledge or scarce experts.
Deliverables: Agent brief, tool and data boundaries, prototype, evaluation plan, controls, and handoff.
Timeline: To be confirmed after feasibility and risk review.
Outcome to measure: Task accuracy, human-review rate, latency, and safe fallback behavior.
Discuss a custom agent →
Help your team adopt and improve the automation it already has.
Offer 04 · AI Enablement and Support
Best for: Teams with automation in place but inconsistent ownership, adoption, or review.
Problem: A technically working system stalls when people lack clear guidance, measures, or a feedback loop.
Deliverables: Operating guidance, documentation, review loops, training, and targeted improvements.
Timeline: Shaped around the existing workflow and review cadence.
Outcome to measure: Adoption, quality, support load, and the next constraint to address.
Plan enablement →