before you spend on AI tools.
Bring one messy process. We map the handoffs, risk gates, tools, and weekly hours at stake, then rank the first AI build your team can measure.
Repetitive admin work consumes skilled people.
Customer and internal requests stall between teams.
Reporting depends on manual cleanup.
AI experiments never make it into daily operations.
The engagement maps the operational constraint, designs the workflow, plans the AI agent around your tools and data, then defines the measurement loop before build work begins.
Find the workflow leaks: manual steps, stalled handoffs, data gaps, and the metric worth moving.
Turn the messy process into a buildable map with tools, owners, approvals, exceptions, and ROI estimate.
Build the first automation inside your existing stack so the team does not have another platform to babysit.
Define the hours, response-time, error, adoption, and payback targets the system will be measured against.
House's Chimney6,600M
The route is fixed before the climb begins.
Lead qualification, CRM updates, proposal drafting, and follow-up agents.
Intake triage, response drafting, escalation routing, and knowledge retrieval.
Task routing, document processing, approvals, and status reporting.
Invoice handling, reconciliation support, and vendor workflows.
Internal copilots trained on docs, policies, SOPs, and data.
Customer-facing AI features, dashboards, portals, and agentic tools.
Black Pyramid7,100M
No AI demo tour. One workflow, mapped to risk and payback.
No fake case studies and no vanity AI claims. These are the outputs that should become real client proof as engagements are completed.
Evidence should show the baseline task, weekly hours, owner, and measured payback target.
Evidence should show the old handoff path, removed steps, remaining approval gates, and exception handling.
Evidence should show connected systems, data boundaries, review points, and the operating owner.
Evidence should show implementation cost, weekly savings target, risk notes, and the decision threshold.
Start with an AI Systems Audit. We map workflows, rank use cases by value and feasibility, then recommend the first system worth building.
Yes. The work is designed around your current tools, data access, APIs, inboxes, documents, CRMs, and internal processes.
We design permissions, human review points, logs, monitoring, fallback paths, and narrow task boundaries before launch.
A first workflow starts with a scoped build plan. Timeline depends on integrations, data quality, approval requirements, and the amount of human review needed.
The Bottleneck8,200M
Past here, every step is measured.