Before investing in another AI tool for your go-to-market, identify the commercial problem, establish a baseline and assign an owner. Then decide whether the next step is a written fix, a workflow change or a system worth building.
Start with the constraint, not the tool
Are suitable buyers failing to discover you? Is your offer unclear? Are enquiries sitting unanswered? Is follow-up inconsistent? These require different interventions. More automation can make an unclear or poorly routed process faster without making it better.
Choose a result you can observe
For an enquiry workflow, record time to a useful human response, qualification and progression to the next step. For content, examine whether it answers the buyer’s question and supports the enquiry journey. For shortlist presence, use repeated questions and retain the answers.
Activity measures such as drafts generated or agents deployed describe output. They do not, on their own, demonstrate revenue impact.
Put the data and ownership underneath it
Identify the records the workflow needs, who maintains them and who handles exceptions. A CRM with unclear stages, duplicated records or missing context makes reliable follow-up harder. A workflow also needs a person responsible for its performance.
Bain’s commercial AI research discusses data foundations, deliberate use-case selection and integration with existing processes. Those are useful considerations, not a promise that a particular tool will pay back.
Compare the next investments explicitly
| Question | What to establish |
|---|---|
| What will change? | A defined bottleneck and the intended effect. |
| What is the baseline? | The current process and available evidence. |
| Who owns it? | A decision-maker, operator and exception path. |
| What will it cost? | Build, software, maintenance and team effort. |
| How will we judge it? | A measurement window and success criteria. |
Use these questions to compare options, including the option of fixing the process before buying another system.
Separate a quick correction from a build
A clearer positioning line or a better enquiry response may be ready to apply quickly. A new qualification agent or connected CRM workflow needs scope, data, ownership and implementation. Treat these as different commitments rather than hiding them inside one vague AI project.
Measure what happened without claiming too much
Record what changed and when. Compare the agreed measures, and account for changes in demand, staffing, competitors and sales activity. An improvement after a launch is useful evidence, but it does not automatically prove that AI caused the improvement.
Where does the GTM Readout fit?
The Readout is the diagnosis before the next spend. In ten working days, it examines shortlist presence and the wider go-to-market, supplies written corrections, and scopes the bigger builds worth considering. Implementation is separate, and the recommended work can go to your own team or another provider.
Read how the assessment works or start with the free go-to-market assessment.
Sources and limits
The decision questions in this guide are practical recommendations from The AI Business. They are not a validated ROI calculator or a prediction of financial results.