The Sprint builds one commercial AI capability inside your environment — your tools, your data, your team doing the work. By week three, you own it completely.
Most commercial teams already have AI access, and the results have been underwhelming. Prompts go in, something comes out, and the team spends as much time correcting it as they would have spent doing the work themselves. Nobody's confident enough in the results to change how they work — because without prompts built with intent and workflows designed to compound, AI just produces the same inconsistent output on repeat.
The Sprint builds that foundation. We take one commercial use case and build it properly, inside your environment, with your team doing the work. By week three, what your team produces is measurably better than week one, and they understand exactly why. When we leave, the prompts, workflows, templates, and documentation belong to your organization, and your team runs it without us.
Scope the use case to your current state — the data and tools you already have. By the end of week one, your team has working prompts built from real commercial data and understands why they work.
Refine the capability against actual sales calls, competitive signals, and pipeline data. Your team is doing the work, not watching. By week two the workflow is repeatable and owned.
Test the capability without guidance. Lock the workflow into its final form and document it so anyone on your team can run it. Close with a results review and a clear next use case.
These eight use cases represent the highest-impact, lowest-barrier entry points for commercial AI. Each one uses data your team already has and builds the foundation for the next use case.
Build an AI system that analyzes your sales call recordings against your methodology — every call, every rep, every week. Surfaces coaching opportunities, tracks objection patterns, and identifies what separates your top performers from the rest.
Best for: Sales leaders with call recording in place and a rep population of five or more.
Build a weekly or monthly competitive brief generated from public signals — pricing changes, product updates, hiring patterns, customer reviews, market moves. Actioned into sales enablement or product strategy in real time rather than six months after it mattered.
Best for: Marketing leaders or Sales Ops teams responsible for competitive positioning.
Surface patterns from your quoting history that aren't visible in the CRM. Win rates by product, by rep, by customer segment, by price point. Response time analysis. Discount pattern identification. The data your team has been collecting for years, made useful.
Best for: Sales Ops or commercial leaders with quoting data accessible in spreadsheets or a CRM.
Build a content system trained on your brand voice, your products, and your customers — producing sales enablement materials, customer-facing content, and market-specific messaging that your sales team actually uses.
Best for: Marketing teams supporting a field sales organization where content adoption is a recurring problem.
Compress the annual planning cycle from months to weeks. Market signals, competitive shifts, and internal performance data synthesized into a strategic brief that identifies white space, right-to-win, and resource constraints before the planning conversation starts.
Best for: Commercial leaders or general managers responsible for the annual plan.
Build the intelligence layer underneath your marketing decisions — channel performance, campaign signal analysis, audience pattern identification, and budget allocation recommendations based on your actual data rather than industry benchmarks.
Best for: Marketing leaders with 12+ months of campaign data and a defined commercial target.
Build the commercial intelligence framework for a product launch — market sizing, customer segmentation, competitive positioning, launch messaging — generated from available data rather than starting from scratch every time.
Best for: Product commercialization teams preparing a launch within the next two to four quarters.
Build the internal capability to run AI training and facilitation inside your commercial organization. Designed for CI practitioners or commercial excellence leaders who want to scale AI capability across multiple functions without external dependency.
Best for: Commercial Excellence Directors or CI practitioners with a mandate to build organizational AI capability.
Don't see an exact match? The discovery call is the right place to discuss your situation. We work with custom use cases when the commercial problem is clear but doesn't map neatly to a documented track.
2-3 hours per week per team member, the data you already use, and active participation in live working sessions.
Proven AI methodology and architecture, deep industrial commercial context.
No IT approvals, no cross functional alignment, no new software, no clean data, no perfect process.
Final pricing depends on use case complexity and team scope — the discovery call produces a fixed price before any commitment. The first sprint builds your foundation. The second sprint moves faster because your team already knows the methodology. Organizations that start now compound capability while competitors are still evaluating.
We cover your commercial situation, the use case you have in mind, and whether the Sprint scope makes sense for where your team is right now. If it isn't the right next step, we'll tell you what is. No preparation required.