How a national health services enterprise is redesigning its sales-to-contract and lead-generation workflows — starting with governance, not tooling.
Before building any AI, how do you get a stalled initiative onto the same measurement and governance footing as everything else in the portfolio — so the results are trusted, comparable, and worth scaling?
Every new sales opportunity that reached the contracting stage went through an entirely manual process. A centralized contract-development team built each agreement by copying and customizing clauses from prior documents, adjusting language for the client type involved — hospital, insurer, or pharmacy — since the terms varied meaningfully across segments. Tooling meant to partially generate contracts existed but was barely used.
Because there was no consistent way to tell a low-risk contract from a high-risk one, nearly every agreement — regardless of complexity — was routed to central legal for review. That consumed legal capacity on routine, low-complexity work and added delay before any actual negotiation cycle even began. Marketing automation and lead-generation workflows showed a similar pattern: real opportunities for automation, but no formal ownership, KPIs, or governance to move them forward.
The initiative wasn't stalled because the problem was unclear. It was stalled because it had never been formally scoped: no named executive sponsor, no named business sponsor, no defined success criteria — the two related project records had sat untouched for months.
Rather than starting with a drafting tool, the engagement started by getting the work onto the organization's own governance framework — the same one every comparable initiative reports through.
Named an accountable executive sponsor and a distinct business-side sponsor, confirmed the program-management owner, and defined the opportunity, KPI, and success-criteria fields the organization requires before a project can move out of early-stage status.
Documented how contracting actually worked today — where the CRM already held sufficient client and opportunity data, why existing contract-generation tooling had stalled at minimal adoption, and exactly where manual drafting and legal review picked up the slack.
Proposed generating draft agreements directly from CRM opportunity data, deal context, and the organization's own historical contract repository — letting existing contract language define the applicable rules and provisions, rather than manually instructing a model what to include.
Rather than sending every contract to central legal, redlines are risk-scored — high, medium, or low, on both legal and business exposure — so only non-standard or higher-risk terms route to legal, under rules legal itself signs off on in advance.
Shortlisted ten candidate sales-and-marketing automation opportunities — five on each side — and modeled their combined recoverable capacity, so the highest-value workflow could be piloted first and used to build momentum for the rest.
This is a live engagement. The figures below reflect governance progress and validated opportunity framing to date, not completed production results.
| Area | Result to date |
|---|---|
| Governance | Moved two previously stalled, unowned project records onto the organization's standard portfolio framework, with named executive and business sponsors. |
| KPI framing | Established contract cycle time, legal touchpoints per contract, draft-generation time, and hours/week recovered as the core measurement set, pending formal baseline validation. |
| Portfolio sizing | Shortlisted 10 candidate sales-and-marketing workflows modeled at roughly 61 hours/week of combined recoverable capacity at moderate adoption; the contracting workflow alone accounts for about 14 of those hours — the single largest line item. |
| Rollout plan | Defined a six-month phased timeline: finalize owners and playbooks, pilot the highest-value workflows, expand team-wide, then check adoption and drift against targets. |
AI-assisted drafting is the visible part of this engagement, but it isn't the part that unstuck it. The initiative had been technically feasible for months; what it lacked was a named owner, a shared measurement framework, and a legal-review model that distinguished routine work from real risk.
Governance is not overhead on top of transformation — it's what makes transformation results legible enough to trust, compare, and scale. Build the accountability structure before the automation, not after.
Let's get the initiative governed first, then automate the parts that are ready.