AI systems for RevOps & enablement

We automate the busywork behind your revenue operations.

Orenda builds systems that route leads, update your CRM, and get the right content to reps automatically — inside the tools your team already uses.

30 minutes. Bring your stack, not a deck.

49%: higher win rates at B2B SaaS companies with a real sales enablement function, versus those without one.
12%: of annual revenue lost, on average, to dirty and outdated CRM data across B2B organizations.
96%: of revenue leaders expect their teams to be running on AI tools by the end of 2026.

Source: Gartner, 2026.

Where revenue slows down

It's Friday afternoon and someone's stitching the forecast together from three different spreadsheets, because nobody actually trusts the number sitting in the CRM. It's not a strategy problem — it's the dozens of small, manual steps between a signal and an action that nobody ever got around to fixing.

Lead routing

Leads sit in a queue waiting for someone to notice them, score them, and assign them — while the ones worth calling go cold.

Enablement handoff

Playbooks and battlecards live in a folder reps forget exists, updated long after the field has moved on.

CRM hygiene

Notes, stages, and next steps get logged after the fact, if at all — so forecasts are built on stale data.

Forecast rollups

Someone spends a day a month stitching spreadsheets together to answer a question the system should already know.

I've sat in the exact meeting where nobody trusted the pipeline number — not because the team wasn't good, because the data wasn't.

Why Orenda exists

I've sat through that exact Friday-afternoon scramble more times than I can count. Ten years inside sales enablement teams taught me the pattern always looks the same: something breaks — reps missing a talk track, win rates slipping, a launch nobody adopted — and the fix is always a new deck, a new training, a new channel to remember to check. It works for about two weeks.

None of it was tied to a number that mattered. Nobody could say whether the new battlecard actually moved win rate, or whether the training actually shortened the sales cycle. Enablement was busy — but it wasn't operational. It sat next to RevOps instead of being wired into it.

So I stopped building content and started building systems instead. The right material shows up inside the deal on its own, instead of a deck someone has to remember to open. Every fix is tied to the layer it's supposed to move — capacity, pipeline, or economics — instead of a monthly report guessing at impact.

That's the whole premise behind Orenda: enablement that's accountable to the same numbers RevOps already lives by.

— Lisa, Founder

What this looks like in practice

That's the belief. Here's what it actually looks like once it's built — one real workflow, before and after.

Before

A lead fills out a demo request at 11pm. It sits in a queue until someone has time to score it and assign it the next morning. By the time a rep calls, the prospect has already talked to two other vendors.

After

The same lead is scored the moment it comes in, matched to the right rep by territory and deal history, and dropped into their queue with a note on why it's a fit. A personalized follow-up draft is already sitting in the rep's inbox by morning.

How we build

A belief only matters if it survives contact with your actual CRM. Here's how it actually gets built:

We build inside the tools you already use. The CRM, the inbox, your existing sequences — not a new dashboard someone has to remember to check. The automation runs whether or not anyone thinks to look.

No rip-and-replace. If it's HubSpot, Salesforce, Outreach, or something homegrown, we build there. No new system of record, nothing your team has to migrate to.

(Orenda, if you're curious, is an old Haudenosaunee word for a force that drives things to act on their own — which is the idea behind the name.)

How we think about a model

Most "GTM models" try to predict everything at once, which makes them impossible to trust. We build the other way — a few simple layers, each one mapped to something a leader can actually change.

Capacity

How much can you create?

reps × accounts × conversion rate

Change this with headcount, territory, or targeting.

Pipeline

What turns into a win, and when?

opportunities × win rate × sales cycle

Change this with qualification, process, or deal velocity.

Economics

What's it worth?

wins × value per win

Change this with pricing, deal size, or expansion.

Every layer gets a plan, an actual, and a gap — so when a number's off, you can trace exactly which layer broke it instead of guessing.

I stopped trusting models that need a consultant in the room to explain them. If a number moves, you should be able to see exactly why.

What we build

Here's what that actually becomes once it's live — three kinds of work, usually in combination, scoped to the friction we find in your stack.

RevOps automation

The moment a deal closes, the contract terms, renewal date, and account owner sync to your CRM and finance tool on their own — nobody re-types it.

Enablement systems

When a rep opens a deal marked "competitor eval," the right battlecard and case study show up right inside that CRM record — not in a folder they have to remember exists.

AI agents for deal support

A lead fills out a form after hours. Within a minute it's scored, routed to the right rep with a note on why, and a draft follow-up is waiting for them by morning.

Who this is for

No guessing games — straight answers on whether this fits, and exactly how it runs once you say yes.

Good fit if

You're already using a CRM, not just spreadsheets
Roughly 10–150 people, Series A through growth stage
The bottleneck is manual process, not a missing tool
Someone on your team can give us a couple hours a week during the build

How it runs

Most builds start as a fixed-price project on one or two workflows, running 4–6 weeks
After launch, you can move to a light monthly retainer so we keep tuning it, or take the handoff and run it yourselves
You own everything we build — nothing is locked to us
We build inside your existing tools; no new system of record to migrate to

How we work

Here's exactly how we'd work together, step by step — a fixed sequence, scoped tightly at each stage so nothing ships without being proven first.

Audit

Map how work actually moves through your stack today, not how the org chart says it should.

Design

Spec the automations and agents that remove the specific friction we found — no generic playbook.

Build

Implement inside your existing tools, tested against real records before anything goes live.

Run

Monitor, refine, and hand off a system your own team can read, adjust, and maintain.

Don't let next quarter's miss trace back to this.

Send us a look at your stack and we'll come back with three places automation would pay off first — before it shows up as a number nobody can explain.

Book a call