Service 03 — AI Strategy & Execution

This is the core of what Chaingent does.

It's in our name for a reason. Wherever you're starting from — AI you're already paying for and not using, or a mandate from leadership with no clear starting point — we close the gap between adopting AI and actually operationalizing it.

What We Do

Wherever you're starting from

A ladder, not a leap — most BPOs are further behind on this than they'd like, and that's fine. We start wherever you actually are.

01 — EMBEDDED AI

Turn on what you're already paying for

We unlock and properly configure the AI capabilities already built into the tools you're paying for today — your CCaaS platform, your BI stack, your CRM. This is almost always the fastest, cheapest win available, and it's the one most BPOs skip entirely.

02 — APPLIED AI

Practical builds that solve a real problem

QA automation, knowledge bases, agent-assist, and internal analytics that solve a real operational problem — not a proof-of-concept that dies after the demo. This is where AI stops being a mandate and starts being a tool your team actually uses.

03 — AGENTIC AI

Autonomous workflows, once you're ready

Strategy and rollout for autonomous workflows once your foundation is ready for it — the next step past "AI assists the agent" toward "AI handles the interaction end-to-end" for the routine, high-volume work that doesn't need a human judgment call.

What We're Seeing

Deployed, not operationalized

88% / 25%

Of contact centers deploying AI in some form — but only 25% have actually operationalized it into daily workflows.

80%+

Estimated share of enterprise AI pilots that never make it to production — "pilot purgatory" is the industry's most common AI failure mode, not the exception.

75%

Of customer interactions projected to be AI-powered by 2026 in some capacity, per Gartner — supported or augmented.

91%

Of customer service leaders say they're under direct executive pressure to implement AI right now — with no clear starting point.

Sources: Gartner, Metrigy CX MetriCast 2026, Salesforce State of Service.

How It Works

Getting AI from deployed to operational

01

Diagnose

We assess where you actually sit on the ladder — what's already available and unused, what's been tried and stalled, and what your team is ready for next.

02

Pick the Rung

We recommend a starting point tied to your readiness, not the flashiest option — often Embedded AI first, since it's the fastest path to a real win.

03

Build & Deploy

We build and configure it ourselves, into a real daily workflow — not a demo environment that quietly gets shelved.

04

Expand & Maintain

We stay on to expand what's working and maintain what we built, so the next rung up the ladder is a natural next step, not a new project from scratch.

The ROI Case

What operationalized AI is actually worth

2–4×

Productivity gains leading operations are starting to see per agent, when AI handles routine work and agents handle the judgment calls.

30–60%

Cut in process costs from automation in functions like invoice processing and data entry (McKinsey).

We don't have a portfolio of client case studies to point to yet — Chaingent is early. What we do have is the industry data above, and direct experience taking BPO clients from zero AI to live custom AI in QA and agent-assist, plus agentic rollouts across multiple clients. The fastest ROI in AI right now isn't a new tool — it's turning on the one you're already paying for.

Not sure where you actually are on the AI ladder?

Tell us what's not working, and we'll tell you what we'd actually do about it.

Contact Our Sales Team