Practice area · AI Integration & Automation
AI Integration & Automation
Practical LLM and ML capabilities slotted into existing workflows — automated quoting, document parsing, intake triage, customer service automation, decision support. AI that fixes a real bottleneck, not AI for the press release. We model the expected lift and the running cost against the workflow first, so you scale what the numbers justify — not what the demo promised.
Best fit
Operators who've watched the AI demos and now want a measurable lift on a specific workflow — without burning a year on an experiments program that never ships.
Common signals
- Document review, intake triage, or quote generation is the bottleneck — and it's repetitive enough that humans hate doing it.
- Customer support volume is growing but staffing isn't — and quality is dropping.
- Vendor demos look magical but every pilot fizzles because nobody owns the production path.
- You're spending money on multiple AI tools that don't talk to each other or your core systems.
Outcomes
What you walk away with.
Concrete deliverables, not slide decks. Each outcome is a system, document, or measurement you keep.
AI-augmented workflow with measurable time / cost savings on a specific task
Production-grade integration into your existing tools — not a standalone demo
Guardrails, fallback paths, and quality monitoring so failures stay invisible to customers
Documentation and operator training so the system survives staff changes
Representative engagements
The kind of work this practice area ships.
Representative engagements, not a portfolio — named case studies as we publish them. Until then, the diagnostics and deep models are the proof you can touch.
AI Integration & Automation
We build LLM-powered document parsing and order extraction into existing workflows.
AI Integration & Automation
We build automated quote generation from chat conversations.
AI Integration & Automation
We build customer-service triage and response-drafting integrations with guardrails and human handoff.
Typical delivery
How the engagement actually runs.
Four phases. Each one ends in a checkpoint that triggers the next. No surprise pivots, no scope creep.
Use-case scoping — pick the workflow with highest ROI and clearest success metric
Pilot design with hold-out testing — prove the lift before scaling
Production integration into existing CRM / ops platform / messaging
Monitoring and feedback loops for continuous improvement
Approach
The principles that shape every call.
How we approach the work on this practice area. Real leverage, not theatre.
Start with one workflow, prove the lift, then expand — broad pilots produce nothing.
Treat AI as an amplifier of judgment — humans stay in the loop on anything that touches money or compliance.
Measure against the business KPI, not against the model accuracy benchmark.
How engagements run
The same five stages, every time.
Diagnose, model, design, ship, measure. You always know what stage you are in, what it produces, and what triggers the next.
Diagnose
FreeStart with a free 30-minute call, or a paid diagnostic when the problem needs a closer look. We agree on what's worth building and what isn't.
Model
1–2 weeksBuild the numbers first — feasibility, unit economics, and a pro-forma — so the decision rests on what the business can actually carry.
Design
Within the sprintDesign the system and the data, plan how outputs get evaluated, set guardrails, and map the change management before any code ships.
Ship
2–8 weeksShip the LLM apps, agents, automations, and internal tools — with weekly demos and a clean production handover, not a throwaway prototype.
Measure
30 / 60 / 90 daysInstrument the rollout and check in at 30, 60, and 90 days to see whether the numbers held — and adjust where they didn't.
Grounded in the library
Every engagement draws on our working library of operator concepts — the same reasoning we use on the call. Browse the thinking behind this service.
Free diagnostics
Try the diagnostic before scoping the work.
Self-serve diagnostics that map directly to this service. Score your situation in under 10 minutes, then bring the result to the call.
Bring us the bottleneck. We’ll bring back the plan.
AI Integration & Automation engagements start with a free diagnostic call. Tell us what is broken, what you have tried, and what good looks like.
Typical response time: 24h · No retainer required