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Next Quarter

Applied AI for
B2B Revenue Teams

Imagine giving every seller the instincts of your best performer. Next Quarter brings together seller context, market signals and applied AI to uncover opportunities, recommend the next move and help every revenue conversation land with impact.

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Q Pilot brings two kinds of intelligence together. From your own business it learns sales collateral, pitch decks, case studies, offerings, POV decks, battle cards, brochures and CRM context. From outside it tracks buyer intent, CXO profiles, hiring signals, technology stack, LinkedIn activity, industry trends, leadership changes, news, podcasts, interviews, press releases, quarterly results, earnings calls, MD&A and public filings. The Q Pilot Context Engine connects both worlds continuously and turns them into three answers for revenue teams: where to focus, who to engage and what to say.

Trusted by successful Revenue teams

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  • Siemens logo
  • Capgemini logo
  • Mastek logo
  • JAS Worldwide logo
  • Black & Veatch logo
  • Wipro logo
  • Apexon logo
  • Coforge logo
  • Lonza
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Applied AI for the teams that carry B2B revenue

Four teams. One shared need: credible context that turns into action.

Revenue teams need intelligence, not more data

Most systems record what already happened. Next Quarter helps teams understand what is changing, why it matters and what to do next.

  • Strategic and Key Account Teams

    Account plans are being completed. Account strategy is still fragmented.

    Critical seller context lives across presentations, CRM records, meeting notes and individual experience. Plans are assembled for reviews rather than used to guide weekly decisions. Stakeholder coverage remains shallow, whitespace is difficult to substantiate and collaboration depends too heavily on the account manager.

    Replace quarterly form filling with credible, current intelligence that keeps account strategy alive between reviews.

  • Sales Teams

    A full territory does not tell a seller where to spend the next hour.

    Account lists rarely reveal which companies are actively considering change, which quiet accounts contain relevant opportunities, where recently won customers may expand or which stakeholders can move a decision forward. Sellers lose time assembling research and still enter conversations without a compelling reason to engage.

    Direct seller attention towards the accounts where fit, timing, change and stakeholder context create a credible reason to act now.

  • Marketing Teams

    ABM and events create activity. Revenue impact remains difficult to prove.

    Account tiers are often subjective. Intent signals do not consistently become messages or plays. Channel plans, content and sales actions are developed separately. Events add high costs, complex coordination, slow follow up and attribution that frequently stops at registrations, scans and meetings.

    Connect audience choice, message, activation, sales action and measurement around a shared view of the account.

  • AI Transformation Teams

    AI experimentation is growing faster than measurable adoption.

    Transformation leaders are expected to modernise sales, marketing and finance while navigating fragmented data, governance requirements, specialist skills, resistance to change and unclear return. Building internally can demand significant upfront cost before the organisation knows which workflows will create value.

    Begin with measurable business outcomes and proven revenue workflows, then scale with governance, context and adoption built into the programme.

Context in. Clear next moves out.

Next Quarter connects the seller context you already own with the market signals you are missing, then applies AI to turn both into decisions your teams can act on.

See It on Your Accounts

  1. Unified account context

    Customer records, meeting history, documents and market signals are brought together so every team works from the same current picture of the account.

  2. Signals that explain change

    Leadership moves, strategic initiatives, financial shifts and stakeholder activity are interpreted, not just collected, so teams understand why an account is moving.

  3. Recommended next moves

    Applied AI turns context into a specific action: the account to prioritise, the stakeholder to engage, the message that fits and the reason it is relevant now.

  4. Adoption inside the workflow

    Guidance appears where revenue work already happens, so account planning, prospecting, campaigns and event follow up all improve without new process overhead.

Don’t take our word for it. Real teams. Real momentum. Real talk.

Customer story

“Our teams stopped rebuilding account research and started arriving with a point of view. The context is already there, and the recommended next move is specific enough to act on.”

Global revenue leadership

Enterprise technology services

  • Pipeline coverage

    18%

    average lift in qualified pipeline coverage on prioritised accounts

  • Research time saved

    6 hrs

    of account research time saved per seller each week

  • Win rate

    11%

    improvement in win rate across strategic account renewals and expansions

  • Time to adoption

    60 days

    to measurable adoption inside existing revenue workflows

Thinking for revenue leaders

View all insights

Common questions from revenue leaders

What Next Quarter is, how contextual intelligence works, and what teams evaluating applied AI for account growth ask most.

Have a specific question? Ask us directly and we will reply within one business day.

Contact us

See what Q-Pilot can uncover. Your first account is on us.

We will use your real accounts to show the context you already own, the signals you are missing and the next moves your teams could be acting on this quarter.

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