Workflow automation & agents
Agentic systems that execute multi-step work — triage, research, drafting, QA — with human review where it matters.
06 — Applied AI
Outcomes via experiments
AI that ships outcomes.
Applied AI — practical, outcome-driven AI embedded in the workflows and processes that move your business.
Our posture
Augment. Then automate and re-imagine.
Time to value
Weeks to a working pilot. Months to scale.
07 — Point of view
AI is powerful. People are the superpower.
We design AI initiatives so both the technology and organization evolve together. By embedding change management from day one, we ensure new tools and processes are adopted smoothly and deliver lasting, meaningful outcomes.
01
Outcomes over demos
We target a measurable business metric: throughput, cycle time, revenue, cost — and work backwards from there.
02
Humans in the loop
We design for the person doing the work. Adoption is the ultimate sign of success.
03
Small pilots, fast
Ship a narrow, honest pilot in weeks. Learn. Then scale what actually moved the number.
04
Platform-agnostic
We build on your stack or bring one that fits. OpenAI, Anthropic, Azure AI, on-prem — we pick for outcome and governance.
What we build.
Four capability areas we combine into production AI systems that earn their keep.
Knowledge & retrieval
Grounded assistants over your documents, tickets, and tribal knowledge — with citations, access control, and freshness.
Process re-imagination
We reimagine workflows end-to-end with AI, streamlining processes and eliminating unnecessary steps to create simpler, more efficient operations.
AI strategy & governance
Portfolio, policy, risk, and measurement — the scaffolding that lets you move fast while maintaining trust.
08 — Engagement model
From hypothesis to production.
Phase 01
Discover
Workshops with the team actually doing the work. Map the process, find the high-leverage moments.
≈ 1 week
Phase 02
Pilot
One narrow workflow, one measurable outcome. We ship a working system and instrument the metric.
≈ 2–4 weeks
Phase 03
Scale
Harden, integrate, roll out. Train the team, align incentives, retire the workarounds it replaces.
≈ 1–2 quarters
Phase 04
Operate
Evals, monitoring, iteration. A quiet cadence of measurement to operationalize so that it becomes Business as usual (BAU).
OngoingWhere it lands.
Representative applications · not a catalog
Operations
−62%
Back-office triage & routing
Classify, enrich, and route inbound work: tickets, claims, applications — so humans touch only the exceptions.
Outcome · Cycle time
Agents + RAG
Customer experience
3.4×
Grounded support assistants
Assistants that cite policy and product docs, escalate cleanly, and reduce repeat-contact rate without inventing answers.
Outcome · Deflection
Knowledge + Evals
Revenue
+18%
Sales & account intelligence
Synthesize CRM, calls, and market signal into briefings and next-best-actions for every account owner, on demand.
Outcome · Pipeline
Retrieval + Synthesis
Have a workflow that should be AI-native?
A 30-minute call is often enough to scope a first pilot. No deck required.