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
Leadership
New CIO appointed from a cloud-first competitor
Engagement
Executive sponsor inactive for 41 days
Product
Two business units below expected usage
Open pipeline
$1.4M
Stakeholders
11 mapped
Last QBR
78 days
White space
3 units
Account Movement Agent
Idle
Recommended next move
Pending- Re-anchor on the new CIO's consolidation mandate before the renewal review.
- Lead with the two under-adopted units as the consolidation proof point.
- Bring 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
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
Signal
01Org change, initiative announcements and shifting usage across the account.
Context applied
02Existing plan, stakeholder map, historical wins and open opportunities.
Agent reasoning
03The agent tests each plan assumption against what has actually changed.
Business output
04A revised account plan with the changed assumptions and their implications flagged.
The account owner accepts, edits or rejects each proposed change before the plan is republished.
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.
Your systems, unified
CRM, documents, notes, email and product usage become one current account picture.
External movement
Leadership change, initiatives and financial shifts are read against that picture.
Function-specific reasoning
Agents are built for sales judgement, not generic summarisation.
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.
Every recommendation carries its sources, so the owner can judge it instead of trusting it.
Nothing reaches a customer, a CRM record or a board pack without a named human approving it.
Agents operate inside your permission model — people see what their role already allows.
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.
- 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.
Week 1
- 2
Context connection
We connect the systems that already hold the truth: CRM, documents, meeting history, product and finance data.
Weeks 2–3
- 3
Agent build and review
We build the agents against your definitions, then review the reasoning and outputs with the people who own the work.
Weeks 3–5
- 4
Run and expand
The workflow runs in your existing tools. Once it holds, we take on the next one.
Week 6 onward
The rest of the family
Applied AI across the revenue organisation
The same context layer, pointed at a different function's workflows.
Applied AI for Marketing
Turn account and market signals into targeted plays, content and routed demand.
ExploreApplied AI for Finance
Explain variance, reconcile the forecast and act on what the numbers are telling you.
ExploreThe products
KAM Q, Sales Q, ABM Q, Events Q and Fin Q — the software behind the workflows.
ExploreGive 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.