Enablement Diagnostic Transformation

From AI potential to
AI in production.

Prove AI value fast — then redesign how work gets done to capture it at scale.

// why now

Heavy on AI experiments.
Light on captured value.

Most organizations are full of pilots and productivity tools that never reach the bottom line. The program closes the gap — prove value where it's real, then redesign how work gets done around it.

01

Fragmented experimentation

Individual tools and pilots are everywhere, but none of it is wired into how work actually gets done — so the value never lands.

02

Cost-AI has a ceiling

Most teams point AI at cost takeout in finance and ops. The bigger workflow-level and commercial levers stay untouched.

03

No path from pilot to scale

Teams can't tell which use cases justify real workflow redesign and integration — so nothing graduates beyond the demo.

// the program

Two motions, one path to value.

One sequenced path, not two offerings — prove value fast with Enablement, then scale it with Transformation.

01
Part 1 · The front door

AI Enablement Sprint

8–10 weeks

Build institutional AI capability through live implementation. Your teams work alongside our specialists to design and deploy production-grade copilots, agents, and AI-enabled workflows against real business priorities—developing the expertise and repeatable methods to scale independently.

The outcome

Deployed AI capabilities in priority workflows, supported by a repeatable operating method your teams can extend across the enterprise.

Request a demo →
What's included
AI opportunity and capability assessment
Priority workflow discovery and value mapping
High-impact use cases prioritized by business value and feasibility
Live design and construction of production-grade copilots, agents, and AI-enabled workflows
Embedded capability transfer, governance, adoption, and value measurement
02
Part 2 · The expansion path

AI Transformation Program

6 months+

Redesign the workflows, data, and operating model that turn proven use cases into enterprise-wide capability.

The outcome

An AI-native operating model: connected agentic workflows, not a pile of pilots.

Book a walkthrough →
What's included
Redesign priority workflows to be AI-native
Future-state processes, roles & controls
Data, integrations, governance & orchestration
Agents built into cross-functional workflows
Scale across teams, with ongoing optimization
// how we work

A five-step path from
process to scaled capability.

Each priority workflow moves through the same disciplined sequence — redesign the process first, architect the foundation, then build agents as components of the enterprise system.

01

Diagnose

Map the end-to-end process. Define the value hypothesis and how it's measured — up front.

02

Redesign

Reimagine the workflow AI-native. Challenge every handoff; don't layer AI on a broken process.

03

Architect

Design the orchestration & context layer first, so workflows are composable, not isolated.

04

Build & Embed

Build each workflow as a component of the enterprise agentic system, human-in-the-loop.

05

Prove & Scale

Measure value against the step-1 hypothesis. Scale what works; retire what doesn't.

If the Enablement Sprint runs first, Diagnose and Redesign are already done — Transformation starts at Architect, compressing time-to-value.

// agents in production

Custom AI agents, built around
how your industry works.

Purpose-built agents — not generic copilots — that connect into your cross-functional workflows. Pick your sector to see the agents we deploy first and the functions they serve.

// why turnifai

Built to ship, measured to last.

We work inside your organization to move past strategy decks and into deployed, working AI that your teams actually use.

01
Production-first

Every engagement ends in deployed, working systems, not just another slide deck.

02
Measured

A value hypothesis defined up front and tracked all the way through to deployment.

03
Integrated

Agents built as components of the enterprise system, on the licenses you already have.

04
Responsible

Governance, security, and human-in-the-loop controls in every workflow we ship.

See any agent live.

Pick any custom enterprise agent and we'll walk you through it — using your functions, your data shape, and your priorities. The fastest way to see how the Enablement Sprint would land.