[ Features ]

Four things. Tightly scoped.

AI capability is evolving faster than your team can adopt it. The gap is not tools or prompts. It is judgment, distribution, and adoption. Headways closes that gap with four tightly scoped capabilities.

[ Measure ]

Measures what's actually happening, and how well

Your people use ChatGPT, Claude, Copilot, Cursor, and tools you do not know about. The most important question is not whether they use them, but whether they use them effectively.

Two methods working together: permissioned proxies and OpenTelemetry hooks into a white-listed set of tools (opt-in, transparent, scoped), plus user interviews with a sampled cross-section of employees.

Two layers of measurement: engagement and utilization benchmarks across every employee and team, plus judgment scoring on a rubric: do they verify sources, push back on the model, consult alternatives, check assumptions, and produce value-added work on top of the model's output?

[ Capture ]

Captures how your champions leverage AI

When your best people use AI, they are making dozens of judgment calls: when to trust the output, when to push back, what to verify, when to escalate. That is the capability you need to scale.

AI Champion Workflow Authoring walks champions through structured interviews that extract their reasoning, not just their steps. The result is a guided workflow with judgment checks embedded, so a junior running the workflow is learning how the champion thinks while producing real work.

Workflows are tool-agnostic: they capture the reasoning, so they run anywhere. Claude, ChatGPT, Copilot, or whatever shows up next.

[ Adopt ]

Helps champion-authored workflows actually spread

This is where most AI transformation programs quietly fail. Capturing a great workflow is not the hard part. Adoption is the hard part. People do not like to be told what to do. They will not use what someone else built unless the value and convenience are immediately, viscerally clear.

Headways treats champion-authored workflows like internal products and gives champions the tools to market and ship them inside the company.

Skill demo pages

Every workflow gets a 60-90 second video showing what it does, what input it takes, and what output you can expect.

In-team distribution

Workflow launches announced through Slack, email digests, and the Headways homepage, not buried in a wiki.

Try-it nudges

Targeted prompts at the right moment: "you spent 40 min on a deal review, Sarah's workflow does this in 8."

Guided first-run

The champion's voice and judgment checks walk new users through the workflow the first time.

Real outcome feedback

Every run is measured: usable artifact, model pushback, business outcome. Workflows that do not produce value get refined.

[ Operate ]

Runs transformation from one operating surface

The Transformation Officer Command Center is your daily homepage, a single pane of glass for the Chief AI Officer. Not a dashboard you check quarterly; an operating tool you use every day, with a score that goes up over time.

[ In practice ]

What this looks like

Sarah is a VP of Sales at a 2,000-person B2B SaaS company and one of their AI champions. Every Monday she uses Claude to pressure-test her pipeline: spotting risky deals, drafting competitive playbooks, surfacing which accounts need executive attention.

Illustrative scenario. Details will reflect a real customer story once available.

Week 1-2

Assess

AI assessment across sales org. Sarah scores top 5% on judgment rubric.

Week 2-3

Capture

Learning Architect spends 90 min with Sarah extracting reasoning from deal reviews.

Week 3-6

Distribute

Sarah records a 75-second demo. Headways surfaces the workflow with personalized nudges.

Week 6+

Results

10 of 12 AEs running reviews weekly. Judgment quality up 23%. 87% weekly adoption.

The VP of AI Transformation opens her Command Center: sales judgment quality is up 23% this quarter, and Sarah's workflow has 87% weekly adoption. That's the number she takes to the CEO.

[ FAQ ]

Frequently asked questions

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