2 Sales Enablement AI Agents, Live in Production.
2 live agents automate sales enablement within sales. They all run on demand. Each one publishes the inputs it needs, the steps it works through and what it hands back.
-
Regulatory Claim Check
Check customer-facing material against what you are actually permitted to say in a regulated sector — certifications, regulatory language, and claims that need a caveat.
-
Sales Collateral Recommender
Describe the prospect and the conversation ahead, and get the right assets from your own collateral library — plus an honest list of what you do not have.
Surfacing the right asset in the deal, and catching claims you cannot make
Enablement degrades quietly. Assets accumulate across drives, inboxes and enablement portals with weak taxonomy, so reps default to whatever they used last time rather than what fits this buyer. The cost is hidden in small increments — searching, asking a colleague, reworking a deck, sending the wrong artefact at the wrong stage — and it never appears in any report. Marketing loses its feedback loop at the same time, because it cannot observe which assets influence progression and which are ignored. In regulated sectors the failure is sharper than inefficiency: a claim that is fine in one market is not permitted in another, and the check that would catch it depends on someone remembering to ask.
These two agents handle both halves. Sales Collateral Recommender takes the prospect and the conversation ahead and returns the right assets from your own library, together with an honest list of what you do not have — which is the more useful output, because it converts a silent gap into a specific content brief. Regulatory Claim Check tests customer-facing material against what you are actually permitted to say in a regulated sector: certifications, regulatory language, and the claims that need a caveat, with each one flagged as removable, caveatable or acceptable. Neither agent replaces the enablement function. What they change is where its effort goes — from manual retrieval and reactive compliance review toward governance of what the library should contain.
What this moves
- Collateral actually used in live deals
- Assets are recommended against the specific prospect and the conversation ahead, rather than requiring a rep to search a library and guess at fit.
- Regulatory exposure in customer-facing material
- Claims are checked against what you are permitted to say in the customer's sector before the material goes out, not after a compliance review finds it.
- Gaps in the collateral library
- What the library does not have is reported explicitly, which turns an invisible shortfall into a prioritised content brief.
Sales
How AI agents handle sales enablement
Drawn from the 2 agents above — what they require, how they run, and what comes back.
What they need
- Material to check
- Context
- The prospect and the conversation
What comes back
- Can this go to a regulated customer?
- Review note
- Claim by claim
- Must be removed or caveated
- Guidance applied
- How to use these
- Recommended assets
- What the library does not have
How they run
- Run on demand
- 2
- Steps per run
- 3–4
- Credits per run
- 5–7
- Use a knowledge base
- 2
Where sales enablement fits in sales
Most of a rep’s day goes on looking things up, updating records and writing follow-ups. These agents do that part, so the hours left over go into conversations with buyers.
Next Step
Deploying sales enablement agents
These run as-is against the inputs listed above. Most deployments adapt one — a different source system, a different tolerance, a different approval path. The first call establishes which.