Applied AI for Sales

Give us the sales workflow.
We put AI to work on it.

Sellers do not need another dashboard telling them an account is at risk. Next Quarter reads what changed, assembles the full account picture, and hands the owner a specific next move with the evidence behind it — inside the CRM they already use.

Northstar Industries

Strategic account · Renewal in 94 days

Signal
Leadership

New CIO appointed from a cloud-first competitor

Detected
Engagement

Executive sponsor inactive for 41 days

Detected
Product

Two business units below expected usage

Detected
Open pipeline $1.4M
Stakeholders 11 mapped
Last QBR 78 days
White space 3 units
AG Account Movement Agent Idle
Recommended next move Pending
  • 1Re-anchor on the new CIO's consolidation mandate before the renewal review.
  • 2Lead with the two under-adopted units as the consolidation proof point.
  • 3Bring the VP of Operations in as the internal advocate — highest recent activity.

Human review

Account owner reviews the play

CRM updated

Task, stakeholder plan and note written to the account

Queued

Live loop: a signal on a strategic account becomes an approved, logged next move.

18%

average lift in qualified pipeline coverage on prioritised accounts

Median change over the two quarters after rollout, aggregated across enterprise deployments.

6 hrs

of account research time returned to each seller every week

Self-reported time previously spent assembling account context and pre-call research.

11%

improvement in win rate on strategic renewals and expansions

Relative improvement in closed-won rate versus the prior comparable period.

The gap

The account picture exists. It just never reaches the seller in time.

Enterprise sellers already sit on more data than they can read. The gap is not information — it is interpretation at the moment a decision is being made.

How it works today

  • Account research is rebuilt by hand before every important conversation.
  • Risk shows up in a dashboard after the quarter has already moved.
  • Stakeholder change is discovered on the call, not before it.
  • Account plans are written once and are stale within weeks.

With applied AI on the workflow

  • Context is assembled continuously and stays current between conversations.
  • Movement on an account produces a next move while there is still time to act.
  • Leadership and buying-committee change surfaces with a recommended angle.
  • The account plan updates itself as reality changes and outcomes land.

Workflows we take on

The sales workflows we take on

Each one follows the same grammar: a signal arrives, context is applied, an agent reasons, a business output is produced, and a person decides what happens next.

Strategic account planning

Keep the plan current instead of rewriting it each quarter

01

Signal

Org change, initiative announcements and shifting usage across the account.

02

Context applied

Existing plan, stakeholder map, historical wins and open opportunities.

03

Agent reasoning

The agent tests each plan assumption against what has actually changed.

04

Business output

A revised account plan with the changed assumptions and their implications flagged.

Human decision point

The account owner accepts, edits or rejects each proposed change before the plan is republished.

Renewal risk and expansion

Catch erosion early and name the expansion path

01

Signal

Adoption decline, sponsor inactivity, competitive presence and contract timing.

02

Context applied

Entitlements, usage by business unit, support history and buying-committee coverage.

03

Agent reasoning

The agent separates real erosion from seasonal noise and sizes the recoverable ground.

04

Business output

A renewal brief with the risk drivers, the recovery play and the expansion case.

Human decision point

The seller and their manager agree the play in the deal review before anything is sent.

New logo prioritisation

Work the accounts that are actually in motion

01

Signal

Hiring patterns, funding, leadership moves and public initiative announcements.

02

Context applied

Territory definition, ICP fit, past engagement and current pipeline load.

03

Agent reasoning

The agent ranks target accounts by timing rather than by static fit score.

04

Business output

A weekly prioritised target list with the reason each account moved up.

Human decision point

The seller commits to the accounts they will work — the list advises, it does not assign.

Meeting and QBR preparation

Walk in with the current picture, not last quarter's

01

Signal

Calendar invite for a named account meeting.

02

Context applied

Meeting history, open threads, commitments made and recent account movement.

03

Agent reasoning

The agent reconstructs the state of the relationship and what is unresolved.

04

Business output

A pre-call brief: what changed, who is in the room, what to ask, what to avoid.

Human decision point

The seller reviews the brief and decides the agenda they will actually run.

Why it works

Context is the reason the output is usable

Generic AI summarises. Applied AI reasons against the specific reality of your accounts, your positioning and your numbers.

01

Your systems, unified

CRM, documents, notes, email and product usage become one current account picture.

02

External movement

Leadership change, initiatives and financial shifts are read against that picture.

03

Function-specific reasoning

Agents are built for sales judgement, not generic summarisation.

04

Delivered where work happens

Output lands in the CRM and the seller's workflow, not in a separate tool.

Human control

The seller stays the decision maker

Applied AI earns its place by being inspectable. Nothing moves on an account without a person choosing to move it.

01

Every recommendation carries its sources, so the owner can judge it instead of trusting it.

02

Nothing reaches a customer, a CRM record or a board pack without a named human approving it.

03

Agents operate inside your permission model — people see what their role already allows.

04

Outcomes feed back in, so the workflow gets sharper without anyone rewriting a prompt.

Where it is used

Where sales teams put it to work

Every engagement starts with one workflow. These are the ones teams bring us most often.

Territory reviews

Managers see where movement is concentrated instead of asking every seller for a verbal update.

Deal inspection

Each opportunity carries an evidence trail, so reviews debate the play rather than the data.

Whitespace mapping

Under-penetrated units and products surface with a named entry point and sponsor.

Competitive displacement

Competitor presence and dissatisfaction signals become a specific displacement angle.

Onboarding new sellers

A new rep inherits the assembled account history instead of starting from a blank CRM.

Forecast defensibility

Commit calls are backed by the same account evidence finance and the board can inspect.

How we engage

Give us the workflow. We put AI to work on it.

This is a service-led engagement, not a licence and a login. We do the mapping, the building and the review with your team.

01 Week 1

Workflow session

We sit with your team and map one sales workflow end to end — the trigger, the judgement calls and the output that matters.

02 Weeks 2–3

Context connection

We connect the systems that already hold the truth: CRM, documents, meeting history, product and finance data.

03 Weeks 3–5

Agent build and review

We build the agents against your definitions, then review the reasoning and outputs with the people who own the work.

04 Week 6 onward

Run and expand

The workflow runs in your existing tools. Once it holds, we take on the next one.

The rest of the family

Applied AI across the revenue organisation

The same context layer, pointed at a different function's workflows.

Give us the workflow

Bring us one sales workflow you would rather not run by hand

We map it with your team, build the agents against your definitions, and run it inside your existing systems.