Most AI projects solve nothing
The pattern is familiar: a tool is bought, a pilot runs, nobody adopts it, and the licence renews anyway. Usually because the use case was chosen for how it demos rather than for how much manual work it removes.
Where it earns its place
We look for the tasks that are high volume, low judgement and already written down, because those are the ones that pay. Enrichment and lead scoring on inbound. First-draft copy and asset variants inside your own brand rules. Summarised call notes written back to the CRM. Routing and reply drafting on support and sales queues. Then we train the team on it, with the prompts, the guardrails and the review step documented, so the knowledge does not leave with one enthusiast.
What you get
Included as standard
- Use-case assessment with an honest verdict on each
- Enrichment, scoring and routing on inbound leads
- Draft copy and asset variants inside your brand rules
- Call summaries and notes written back into the CRM
- Team training with prompts, guardrails and a review step written down
Also on the chain
Nothing here works alone
Every one of these connects to the others. That is the point of the way we work.
Start with the gap
Tell us where the chain breaks.
One reply from the person who would do the work, not a sales desk.
hello@dot-connectors.net