Build an AI-first operating system,
not another pile of tools.
We design workflow architectures that fuse humans and AI into a single, scalable execution layer. Stop buying subscriptions and start building equity in your system.
Diagnose bottlenecks via data, not vibes. Design decision logic that runs without babysitting. Implement natively (CRM, Slack, API) with zero bloat.
Most businesses do not have an AI problem, they havea systems problem.
AI does not fail because the model is dumb. It fails because the business is inconsistent.
Response Velocity
Minutes kill deals. We engineer fast first contact and consistent follow-up so leads get a clear next step right away, not a delayed reply that shows up after they already moved on.
Data Hygiene
AI runs on inputs, not intentions. We clean duplicates, standardize fields, enforce required data, and prevent record rot so routing, personalization, and reporting stay trustworthy.
Workflow Ownership
If ownership is vague, execution is optional. We assign explicit owners, handoff points, and SLAs so nothing gets "assumed handled" and deals do not disappear into the void.
Decision Routing
No rules means random outcomes. We implement decision logic for scoring, routing, and edge cases so the right lead hits the right person, pipeline, and calendar every time.
Test Coverage
Demos only test the happy path. We build test cases for real-world failure modes (missing data, spam, duplicates, after-hours, exceptions) so the system holds up under pressure.
Continuous Optimization
If you do not measure, you cannot improve. We track speed, conversion, show rate, and drop-off, then tune the workflow from production data so performance gets better over time.
If it cannot survive a Tuesday, it does not ship.
Speed-to-lead is Phase 1, not the whole story
We start where ROI is obvious: lead response and booking. Then we expand the same operating model into onboarding, delivery, and internal ops. This filters out tourists and proves value fast.
Your Business Is Leaking Money After the Lead Comes In
Most teams are not losing because their ads are bad. They are losing because the system after the click is weak.
Slow Speed-to-Lead
Leads sit for hours before a human responds. Conversion rates drop 80% within 5 minutes.
Inconsistent Follow-Up
Some leads get 10 touches, others get forgotten. No system, no accountability.
Manual Routing
Leads go to whoever is available, not whoever is right. Hot leads get cold.
Instant Engagement
AI responds in seconds, qualifying and booking 24/7.
Systematic Nurture
Every lead gets the right sequence. Nothing falls through the cracks.
Intelligent Routing
Leads flow to the right person based on rules you define.
What we build
AI Routing and Qualification
Decision rules, edge cases, spam handling, duplicates, missing fields, and fallbacks.
Response and Nurture Engine
Fast, human messaging with opt-in compliance and stop rules. Messaging is sent only to opted-in leads, with quiet hours and compliance baked in.
Operational Handoffs
Tasks, owners, SLAs, approvals, and escalation when reality hits.
Visibility and Governance
Dashboards, audit logs (where needed), change control, and weekly review.
The CLEAR method (how we prevent pretty prototypes)
Clarity
Define the win metric and constraints (time, compliance, tools, owners).
Logic
Decision rules, routing, scoring, and at least 3 test cases (including edge cases).
Examples
Real examples of messages, handoffs, and failure modes.
Adaptation
Tune from production data, not opinions.
Results
Report what changed.
Sample Artifacts
What CLEAR actually produces.
Visual architecture of workflows, triggers, and integrations.
Open PDFLogic tables for routing, escalation, and edge cases.
Open PDFPhased build schedule with owners and milestones.
Open PDFKPIs, baselines, and success criteria definitions.
Open PDFWays to work together
AI Ops Readiness Scorecard
- Current-state diagnostic across Revenue workflow, Delivery workflow, Ops visibility
- Gaps, priorities, and ROI estimate
- 60-minute debrief with next-step plan
Systems Blueprint Sprint
- Requirements and system design
- Data map, event map, owners, SLAs
- Decision rules + test cases
Unlocked after the Scorecard.
Start with the Scorecard, it tells you the next step.
Implementation Sprint
- Build and integrate (CRM, calendar, comms, ops)
- QA against test cases
- Launch + team training
Unlocked after the Scorecard.
Start with the Scorecard, it tells you the next step.
AI Ops Retainer
- Monitoring, optimization, change control
- New workflows quarterly (as needed)
- Documentation kept current
Unlocked after the Scorecard.
Start with the Scorecard, it tells you the next step.
No hype. No fear. No dusty decks.
I do not sell AI theater. We ship working systems that make execution faster and more consistent. If we cannot measure the outcome, we do not build it.
We measure speed, conversion, show rate, and cycle time, then report what changed.