Sales Copilot: consistent tactics across every team, at every touchpoint

When you sell enterprise in a finite market, every interaction compounds. The problem is that reps and marketers rotate accounts, hand off work, and context gets lost.

Meanwhile, "best practices" live in docs that don't show up when someone is actually writing an email, deciding whether to push, or figuring out how to re-open a stalled deal.

We built a Sales Copilot on top of their signal engine that turns account movement into clear scenarios and gives teams exact tactics: what to do, what to say, and when — directly inside their workflow.

Enterprise Client

$100M+

Annual Revenue

2,000+

Full-Time Employees

Global

Enterprise GTM Org

1 Source

Consistent, org-wide view of tactics

100%

Integrated (UI + chat + CRM)

The problem:

In enterprise sales:

  • deals are long and complex
  • buying committees are large
  • your market is finite, and reputation matters
  • small execution mistakes compound (slow follow-up, wrong angle, bad timing)

This client had strong people and strong process documentation — but operationally:

  • teams switched accounts often, making ramp-up expensive
  • tactics and messaging varied by region/person/team
  • it was hard to pressure-test what to do next (so decisions were inconsistent)
  • enablement lived outside the sales process, so it didn't get used in the moment

They needed predictable growth and a consistent bar of professionalism — across every touchpoint.

Their current approach:

  • lots of SOPs, training, and enablement content maintained by senior leaders
  • coaching largely delivered through meetings and reviews
  • outreach tactics (emails, invites, follow-ups) created ad hoc
  • materials were disconnected from the CRM and daily workflow

The consequences:

  • inconsistent execution across teams
  • slow ramp time whenever accounts moved hands
  • slower production of high-quality outreach
  • more guesswork → less predictability in revenue outcomes

The goal wasn't "another enablement library." The goal was: a Copilot that sits inside the deal workflow and turns live account signals into actionable next steps.

1. Ground everything in real signals (not generic LLM suggestions)

We anchored the Copilot to the client's signal engine:

  • account momentum and engagement signals
  • stakeholder activity across channels
  • intent indicators and account movement scoring

So recommendations are triggered by what's happening — not templated advice.

2. Convert signals into clear deal "scenarios"

Signals are noisy unless they map to situations sellers recognize. The Copilot generates scenarios like:

  • "account warming up — engagement rising"
  • "champion active, committee quiet — expand reach"
  • "new initiative detected — re-open with timing"
  • "deal stalled — needs reframe / new angle"

Each scenario includes:

  • what changed
  • why it matters
  • what "good next" looks like

3. Recommend exact tactics: what to do, what to say, and when

For each scenario, the Copilot suggests:

  • next-best actions (email, LinkedIn, call, invite, internal ask)
  • the angle to lead with (based on the trigger)
  • ready-to-edit messaging (follow-ups, meeting invites, re-open sequences)
  • timing guidance (when to push vs when to wait)
  • "pressure test" prompts to sanity-check the approach before sending

This makes execution faster and consistently professional.

4. Make it a learning tool (so teams ramp faster)

We added a chat experience so team members can ask:

  • "Why this tactic?"
  • "What are 2 alternative angles?"
  • "How would you say this to a CFO vs a VP Ops?"
  • "What's the risk in pushing now?"

So it helps people learn in context while they execute.

5. Integrate into the CRM so adoption is automatic

We embedded the Copilot where decisions happen:

  • a UI to browse scenarios and recommendations
  • chat to iterate quickly
  • CRM integration so reps can act without context-switching

Before

Best practices were trapped in docs, tactics varied by team, and ramp time was costly.

After

The org has a consistent operational layer: everyone sees the same scenarios and recommended plays, tactics are aligned across regions and roles, and teams execute faster with higher quality touchpoints.

Net result: a Sales Copilot that standardizes enterprise GTM execution across a global organization — fully integrated, and usable day-to-day by every team member.

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