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.

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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.