Get Your RevOps Health Score Book a Free Assessment
AI-native GTM operations

Your complete GTM operations team

Revenue, sales, marketing and customer success operations and GTM engineering, run by one AI-native team. AI prospecting, AI SDRs and an AI ops monitor work inside your own systems, alongside the migrations, processes and reporting that keep revenue predictable.

Book a Free Assessment See everything we run

A 30-minute call. No pitch. You leave with three things worth fixing first.

An illustration of the kind of system we build, not a client's data.

What changed for clients

  • 9 min

    Median first contact on inbound leads, down from about 31 hours.

    Embedded RevOps
  • 5% to 13%

    Win rate, once an explainable scoring model showed reps which leads to call first.

    AI lead scoring
  • 2 hours

    Monthly reporting cycle, down from two days, after 12 tools became one source of truth.

    Revenue consolidation
  • 90 days

    Warning before churn from one health signal, with churn down roughly 18%.

    Churn reduction

Before and after, drawn to scale. Case studies are anonymized to industry and stage. The team has implemented and optimized 150+ Sales, Marketing, CX and CRM systems. All case studies

One team for all of GTM operations

Five functions, with AI working across all of them. Hand us one area or the whole function.

AI across every function

See every service

What does SpecSavi do?

SpecSavi is an AI-native GTM operations team for B2B companies, based in Toronto. We run the complete GTM operations function: revenue, sales, marketing and customer success operations and GTM engineering, including AI prospecting, AI SDRs, an AI ops monitor, sales frameworks, CRM migrations, process optimization, and reporting and analysis. Senior people design the work, AI takes the repetitive parts, and everything runs in your own systems, without hiring a full in-house operations team.

The whole revenue system, not one tool at a time

Most revenue problems show up in one team and start somewhere else. Pick a part of the system to see where it usually breaks, what we build there, and a case study where we did it.

InteractiveYour revenue system, one part at a time Select a part to see where it breaks, what we build and the proof.
Direction
Revenue flow
Visibility
Automation
Foundation
  • RevOps strategy
    Where it breaks
    Every team works to a different idea of the ideal customer, and targets are set top down with no model behind them.
    What we build
    ICP and segmentation, the go-to-market motion for each segment, funnel and pipeline design, pricing, compensation and the planning model under the number.
    Proof
    A pre-IPO cybersecurity company turned a founder-led motion into a segmented one the board could forecast against. GTM motion redesign case study

    Go deeper: RevOps strategy

  • Marketing operations
    Where it breaks
    Hot leads go cold in a queue, and nobody can say which campaigns produce revenue.
    What we build
    Lifecycle stages both teams agree on, lead scoring, routing with a response SLA, and attribution in the CRM.
    Proof
    Moving routing into the CRM took median first contact on inbound leads from about 31 hours to 9 minutes. Embedded RevOps case study

    Go deeper: Marketing operations

  • Sales operations
    Where it breaks
    Stages mean different things to different reps, and the pipeline is full of deals that will not close.
    What we build
    A stage model with exit criteria the CRM can check, territories and quotas built on evidence, and quoting with approvals.
    Proof
    An explainable scoring model told reps which leads to call first. Win rate went from 5% to 13%, and the sales cycle got 25 days shorter. AI lead scoring case study

    Go deeper: Sales operations

  • Customer success operations
    Where it breaks
    Churn arrives as a surprise, and renewals live in a spreadsheet.
    What we build
    Onboarding playbooks, a health score checked against real churn, renewal playbooks with owners, and expansion signals routed to the right person.
    Proof
    One health signal from product, support and CRM data gave a Series C platform about 90 days of warning, and churn fell by roughly 18%. Churn reduction case study

    Go deeper: Customer success operations

  • Forecast and reporting
    Where it breaks
    The forecast is a negotiation, and the board has stopped believing it.
    What we build
    A forecast built on stage data you can trust, and pipeline, retention and revenue reporting that leadership and the board read the same way.
    Proof
    A Series B company cut its monthly reporting cycle from two days to two hours and got a forecast that held. Revenue consolidation case study

    Go deeper: Revenue forecasting

  • GTM engineering and AI
    Where it breaks
    Reps research accounts by hand, and the CRM gets updated on Friday afternoon, if at all.
    What we build
    Integration and data sync, workflow automation, signal and enrichment workflows in Clay, Zapier and n8n, and AI where it removes real work.
    Proof
    For a lean Series A/B team, one system on the CRM briefs every account before a rep opens it. AI GTM Brain case study

    Go deeper: GTM engineering and AI

  • CRM and data
    Where it breaks
    The same customer looks different in every tool, and nobody trusts their own report.
    What we build
    HubSpot and Salesforce builds and rebuilds, migrations between them, and data quality and governance, set up around how you actually sell.
    Proof
    An enterprise SaaS company moved 50,000 contacts from Salesforce to HubSpot in 8 weeks with zero downtime, and saves $120K a year. CRM migration case study

    Go deeper: CRM and revenue systems

What's your RevOps Health Score?

A short, adaptive assessment. Answer one question at a time and get a scored read on your data, pipeline, forecasting and retention, with what to fix first.

How an engagement runs

We start with what is true about your revenue system, not with tools, then decide what to build, buy or leave alone.

InteractiveFive steps, from diagnosis to a system that runs Select a step, or use Next.
  1. Instead of
    "Tell us your requirements."
    What we do
    Stress-test your assumptions: a current-state audit, a map of where you need to be, and a reality check at your next stage of scale.
    You get
    A strategic assessment and roadmap.
  2. Instead of
    "Add AI to everything."
    What we do
    Ask where automation and AI will actually move revenue, starting with the quality of the data underneath.
    You get
    A plan for what to automate first, with the expected return.
  3. Instead of
    "Build whatever you want."
    What we do
    Lay out build, buy or wait for each piece, with the risks, and tell you what we would do.
    You get
    A decision framework you can take to the leadership team.
  4. Instead of
    "Here is your custom build."
    What we do
    Roll out in phases, on an architecture that will hold at the next stage, and train the team as we go.
    You get
    A production system and the playbooks to run it.
  5. Instead of
    "Project complete, goodbye."
    What we do
    Monitor, review quarterly and fix problems before they reach a report.
    You get
    An on-demand RevOps team, through RevOps as a Service.

Five ways to work with us

A scoped project, RevOps as a Service, embedded specialists, interim cover or fractional leadership. Three questions point to the one that fits, or compare them on the services page.

Ready to build a revenue engine that scales?

A 30-minute conversation about your revenue system. No commitment, and no pitch.

Book a Free Assessment Or take the Health Score first