01
Production AI Assistant
Internal or customer-facing assistant deployed in the workflow surfaces your teams already use, with governed sources, evaluations, and an iteration loop.
Capability · AI & Automation
AI that gets adopted — not another pilot.
We help leadership teams pick the AI initiatives most likely to produce results within two quarters, then ship them into production with governance and adoption measurement.
Cycle-time reduction
Typical on cross-system workflow automation.
Conversation coverage
Every interaction becomes operational signal.
Time to capability
Pilot → operationalized assistant in production.
Knowledge reuse
On retrieval-grounded knowledge assistants.
What we deliver
AI capability that ships — and stays shipped.
Production systems, governance, and adoption — not slide decks or proofs of concept.
02
Agentic Workflow Automation
Multi-step, tool-using workflows that automate cross-system operational processes — built for throughput, with monitoring and exception handling owned inside your team.
03
Conversation Intelligence Platform
Conversation analytics across every channel, an AI-assisted QA workflow, and scoring tied to operational KPIs reviewed weekly by leadership.
04
Knowledge Retrieval System
Retrieval-grounded search and assistance so institutional knowledge becomes usable in sales, service, and operations — instead of trapped in wikis and PDFs.
05
AI Readiness Assessment
Honest, evidence-based view of where AI will and will not produce value in your environment — and what needs to be true for it to land.
06
Semantic Data Layer
Unified, governed, business-meaningful data so AI and analytics consume the same definitions every downstream KPI depends on.
How an engagement runs
Production capability in 60 days. Full adoption handoff in 10–12 weeks.
Phase 01
Diagnose
Map AI ambitions against operational reality. Identify the workflows and decisions where AI will produce measurable, defensible value within two quarters.
Weeks 1–2
Phase 02
Scope
Pick one or two initiatives with clear owners, success metrics, data readiness, and a path from pilot to operational capability.
Weeks 2–4
Phase 03
Build
Ship the assistant, workflow, or retrieval system into production — with evaluations, governance, and human-in-the-loop where it belongs.
Weeks 4–8 (60 days)
Phase 04
Operationalize
Adoption measurement, iteration cadence, and ownership transitioned inside the team that runs the capability week to week.
Weeks 9–12
A pilot proves a model works. An operating capability proves the organization does.
Related capabilities
Customer Intelligence
Feed assistants and agents with segmentation, lifecycle signals, and customer-value data they can act on.
Explore
Operational Modernization
Identify the workflows where automation removes coordination cost and unblocks execution.
Explore
Case Studies
Contact intelligence, knowledge assistants, and workflow automation engagements — problem, approach, outcome.
Explore
Engagement
Identify the AI initiatives most likely to produce business results within two quarters.
We help leadership teams prioritize, scope, and operationalize AI — focused on adoption, governance, and measurable outcomes rather than proofs of concept.