Generative-AI Integration

Put AI to work inside the business, not just on top of it.

This is your AI-in-the-workflow offering — where AI acts as an assistant and automation layer across internal processes.

It is not generic automation — it is task-level intelligence.

Sub-offerings

  • Ops Copilot for internal teams (Support, Operations, Success)
  • RAG Knowledge Hub ("Docs → Answers")
Pain it solves: wasted internal time, slow responses, tribal knowledge bottlenecks.
Why it is transformation: it embeds AI into existing workflows and knowledge systems — turning internal chaos into repeatable, measurable efficiency.

Where we plug your copilots

We analyze current processes, privilege data sources, and regulatory constraints. Then we design copilots that augment the team without rewriting the stack. Your employees get trusted answers; your systems get structured updates.

Zendesk, Intercom, or ServiceNow copilots that classify tickets, draft responses, and push actions into Jira or Salesforce.
RevOps assistants that enrich CRM records, summarize calls, and recommend next steps for AEs and CSMs.
Secure internal knowledge hubs that connect SOPs, contracts, and product docs to deliver accurate answers instantly.
Engagement shape

From pilot to production

You get measurable checkpoints, not open-ended experimentation.

Phase 01

Discovery & success metrics

Two weeks to map processes, systems, and KPIs — choosing launch lanes with clear ROI and compliance guardrails.

Phase 02

Copilot blueprint & build

Four to six weeks to connect data, design prompts, deploy retrieval, and launch controlled pilots with human review.

Phase 03

Scale & automation

Ongoing optimization, analytics, and auto-escalations that keep copilots accurate as your business evolves.