How We Work | The Worthy Group

Step 1 — Team Design & Agent Platform

4–6 weeks · one team, fixed scope · remote with on-site sessions

The most expensive AI mistakes happen by pointing agents at an unclear structure, undefined decision rights, or a broken workflow. We start by redesigning how one team actually works — then prove the design by deploying the Agent Platform inside it, so AI runs inside a structure built for it, not bolted onto the one you already have.

What we do

Team & workflow mapping — we sit with the people doing the work, mapping decision rights, hand-offs, and where time and quality actually leak in the core workflows.
Structure redesign — value-based teaming: who owns which outcomes, how the team collaborates, and what changes versus what doesn't.
Agent Platform deployment — the redesign's capstone: agents built against the team's new standards and workflow, carrying a persistent memory so the structure holds as work speeds up. See how the Agent Platform works →

What you get

A redesigned team structure — decision rights, roles, and collaboration protocol, documented and adopted.
A working Agent Platform deployment — agents live inside the new structure on your highest-leverage workflow.
30-60-90 day roadmap — a sequenced plan for extending the model beyond this team.
Executive readout — a working session with your leadership team, not a slide dump.

Book a Discovery Call

Step 2 — AI-Native Workflow & Operating Design

3–6 weeks · scoped from your team design

Team Design tells us which structure and workflow levers matter. This step scales them — as one coherent redesign across the functions your team touches, not separate consulting products. Depending on what Step 1 surfaced, the design draws on three modules:

Operating model — how strategy becomes work: structure, decision rights, value flow, and the roadmap to get there.
AI-native workflows — your top workflows rebuilt with AI: workflow maps, AI integration specifications, and measurement frameworks.
Human-AI teams — team structures, collaboration protocols, and an AI literacy plan so people know how to work in the new design.

Step 3 — Enterprise AI Operating Model

Ongoing engagement · org-wide scale

This is the destination: your organization's structure, decision rights, and governance redesigned around AI-native teams at scale. Research on strategic decisions is brutal — about half are never fully used. Designs fail in the handoff, not on paper. So we don't hand off — we stay embedded with your team through rollout:

Working sessions with your teams as new workflows go live — tuning against real work, not test cases.
Coaching for workflow leads so the capability transfers to named people, not a binder.
Measurement reviews — cycle time and quality against the baseline, reported in language your board understands.
Design adjustments as reality teaches — included, not a change order.

Common questions

What size organization is this for?

The challenge transcends size — enterprises, mid-market companies, and growth-stage firms are all trying to turn AI pressure into operating results. What matters is scope: we start with one team and a leadership sponsor with the mandate to change it, whether that team sits inside a Fortune 500 or an entire company.

What does Step 2 cost?

It depends on which modules your team design surfaces and how many workflows are in scope — that's why we scope it after Step 1, in writing, before you commit.

How is this different from just buying agent tooling?

Agents dropped onto an unchanged team tend to drift — output loses the context of the task, and without a shared structure, someone ends up babysitting them just to keep results usable. Team Design fixes the cause: the structure, standards, and workflow the Agent Platform runs inside are built first, so the agents stay on task without supervision. See the Agent Platform →

Which AI tools do you implement?

We're tool-agnostic and design around your existing stack where possible. The durable value is in the workflow design and the human-AI division of labor — tools will keep changing; the method shouldn't.

Can we just do training instead?

Yes — we deliver Scaled Agile's AI-Native Foundations course privately for teams, certification included, and many clients start there. The full SAFe® catalog is available on request, taught by a SAFe® Practice Consultant Trainer (SPCT) — one of only ~150 in the world, the credential that trains and certifies SAFe consultants themselves.