RevOps as a Service.
You're already paying for fifteen tools that don't talk to each other. We connect them, put AI agents on top to handle the repetitive work, and measure the results at every stage of the buying process. Your sales team gets faster. Your CFO gets better numbers.
The next advantage isn't another tool. It's connecting the ones you already have.
Most B2B teams have spent a decade buying point solutions: one for email, one for ads, one for the CRM, one for sales engagement, one for analytics. Each one does its job. Together, they don't add up to anything coherent.
What's changed is that AI agents can now sit on top of those tools and do the connective work — research accounts, draft messages, qualify leads, brief AEs before meetings — at a fraction of what it would cost to hire the same number of people. That's what RevOps as a Service does.
We turn the tools you already pay for into one revenue engine, with AI agents doing the work in between, and measure the result at every stage of the buying process.
Built on top of Salesforce, HubSpot, Outreach, Apollo, Gong, Clay and the rest of what you already have.
Four AI agents. One system that runs them.
No single AI tool is best at everything. Each of these does one thing well — we route the right work to the right agent and stitch the outputs back into your CRM, marketing automation and sales engagement tools.
Builds and looks after the connections themselves — the workflows, integrations, internal tools and data pipelines that hold everything together. It's why we can ship a new automated workflow in days instead of months.
Generates production-ready scripts, drafts of content, and one-off data transformations. We use it heavily for content speed and for batch personalisation of outbound messages.
Our execution layer that runs sales plays end-to-end — research, outreach, qualification, follow-up — with humans checking the work at the steps where it matters. Visit enai.ai →
For the longer, multi-step jobs: account research, market mapping, expanding your account list, building executive briefings. The kind of work that used to need a junior analyst for a week.
Measured at every stage of the buying process.
The point of RevOps is making things measurably better. Here's what changes when you put one orchestration layer plus AI agents behind every stage of the buying process — measured against the baseline our customers walk in with.
1 main piece + 2 follow-ups.
1 main piece + 12 follow-ups.
~2.5% reply rate.
3.5%+ reply rate.
9 days lead to booked meeting.
4 days lead to booked meeting.
~10% of demos personalised.
80%+ of demos personalised.
Sales cycle: baseline.
Sales cycle: −30%.
90 days to first value.
50 days to first value.
What it looks like at the top.
When the stage-by-stage improvements compound across a quarter, the maths is hard to argue with. The numbers below are the ones our customers track at board level.
From kickoff to compounding savings in 90 days.
Audit and baseline
Map every tool you currently use. Capture the baseline numbers at each stage of the buying process. Pick the three workflows where automation will pay back fastest.
Connect and automate
Wire Claude Code, ENAI and the rest of the AI stack into your CRM and sales tools. Ship the first three workflows live, with humans checking the work at the steps that matter.
Scale what works
Roll automation out to the next set of workflows. Bring in Manus AI for the longer-running research jobs. Tighten the feedback loops with your AEs and SDRs.
Document and hand over
Write down every workflow. Train your team. Hand over a runbook plus a 12-month roadmap that lives in your environment, not ours.
Humans for judgment. AI for speed.
B2B teams want both: AI moves at machine speed, humans bring the strategy and the prompt engineering that makes it work. Here's exactly who does what on this engagement.
Strategy & judgment.
Architecture decisions, agent design, prompt engineering, and the operational guardrails AI cannot set for itself. Senior RevOps leaders own the system, not the AI.
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Stack architecture.Which tools connect to which, what each system owns, and where the agents fit in. Designed by people who've built revenue stacks before.
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Prompt engineering.We design the prompts, the routing logic, and the human-in-the-loop checkpoints. The AI follows the playbook humans wrote.
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Guardrails + SLAs.The rules for what AI can and cannot do unsupervised. Agents flag exceptions to humans — they don't make irreversible calls alone.
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Exception handling.When an agent escalates, a senior person picks it up. The 5% of cases where judgment matters always reach a human.
Speed & scale.
The data sync, lead scoring, opportunity hygiene, forecast modelling and alerting that used to need a five-person ops team. Now: agents that run continuously.
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Data sync + enrichment.Keeps Salesforce, HubSpot, marketing automation and your data warehouse in lock-step. Enriches every record automatically.
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Lead + opportunity scoring.Re-scores the funnel daily based on fit, intent and stage. The pipeline view your RevOps lead used to rebuild every Monday.
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Forecast modelling.Probability-weighted forecasts that update with every email, every meeting, every CRM change. ±5 percentage points of accuracy.
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Alerting + routing.Spots stalled deals, missing data, slipping forecasts — and routes the alert to the right person before it becomes a problem.
Five years of measurable outcomes from global B2B demand programmes.
Numbers from the last five years of running campaigns for 250+ B2B teams across six industries and five regions.
Want to see what an audit would say about your stack?
30 minutes is enough to walk through your current setup. We'll come back with the three workflows that would pay back fastest, and a quote for shipping them in 90 days.