AI consulting for revenue teams
An embedded engineer wires your stack, codifies how your revenue org really works, and ships custom agents, tools, and systems. Innovation and implementation as a service.
Deal Risk Agent
Acme slipping - champion silent 12d, competitor on last call
Renewal Risk Agent
Initech usage −32% WoW - save-plan drafted
Forecast Integrity Agent
2 commits flagged as happy-ears
Account Intelligence Agent
QBR brief for Globex
+795 moreWe’ve worked with world-class revenue orgs
Every engagement starts with a Build and settles into a Run. You can move between them whenever the business calls for it.
A senior AI GTM engineer embeds with your team. We wire your stack, map how your revenue org actually runs, and turn the rules your CRO has only ever explained out loud into versioned, executable logic. Then we ship: custom agents, internal tools, automations, and systems scoped to your motion - first ones live in under a week, compounding from there.
When the build wraps, we don’t hand you a repo and leave. We host, monitor, tune, and maintain everything we built - on our infrastructure, watched by our team, at a flat monthly rate. Your systems keep working. Your context keeps compounding. And when you’re ready for the next build, we pick up exactly where we left off.
No open-ended retainers. No abandoned pilots. No renegotiating from zero.
Inside the build
Every build opens the same way: connect the stack, map the org, codify the rules, ship. By the end of week one there’s working software in production - and the pace holds from there.
Wire up your sources and map how your team actually runs revenue.
Turn the rules your CRO has only ever explained out loud into versioned logic.
Working agents in production, acting on your codified logic.
Tune in production, scale into new teams, and keep shipping as the build compounds.
By day 3: an operating map of your revenue org - every workflow, where it breaks, what’s worth automating. Yours to keep either way.
Most AI consulting ends one of two ways: the consultant leaves and the system rots, or the retainer never ends and the invoices never shrink. Our model is a loop instead of a line. Build when there’s something new to ship. Run when there isn’t. The infrastructure underneath - your connected stack, your codified logic, your accumulated account context - persists across both, so every build starts further ahead than the last.
A scoped engagement. New agents, tools, systems.
Flat monthly rate. We operate everything. Context compounds.
Resume anytime. Day one starts where day ninety ended.
The loop repeats - every build starts further ahead than the last.
A sample of what’s come out of past builds. The Deal Risk agent flags the renewal where the champion went quiet forty days out. The Whitespace agent finds the expansion your AE hasn’t asked about yet. The Forecast Integrity agent recuts the number when the big deal slips - before the Monday call, not after it. Most of what we ship is custom: if it lives in your revenue stack, we can build on it.
Watches every open opportunity for champion silence, competitor mentions, stalled stages, and buying-committee usage drops. Flags risk and alerts the AE and CSM before the deal slips - not at the post-mortem.
+ moreOpen deals watched
142
Flagged this week
9+3
Caught before slip
6
Builds account-level research briefs - firmographics, recent news, technographics, buying signals - with recommended outreach angles, before your rep opens a single tab.
Scans your prospect universe for buying signals - intent, hiring, funding, leadership changes, tech adoption - and prioritizes who to touch this week.
Generates personalized, account-specific outbound plays - target contacts, sequence selection, email copy - that run your outbound motion at scale.
Picks the right contacts at target accounts for every event, drafts personalized invitations, and routes responses through your CRM and sequencer.
Surfaces competitor presence, win/loss patterns, and displacement angles - then drafts a battle plan for every active deal where a rival shows up.
Analyzes your customer base for cross-sell and expansion whitespace - product gaps, usage patterns, peer-account benchmarks - and hands the play to the owner.
Most of what we build is custom. Your engineer decomposes your workflow, puts LLM judgment only where judgment is needed, and keeps deterministic software everywhere else - with a human gate wherever autonomy isn’t earned yet. If it lives in your stack, we can build on it.
Your competitors have the same models you do. What separates revenue orgs now isn’t intelligence - it’s whether that intelligence knows your business: your accounts, your rules, your motion. That knowledge lives in your CRM fields, your call recordings, and your CRO’s head. Getting it out, writing it down, and putting it to work is a deployment problem. It’s the only problem we work on.
The usual way
Revllama
A pilot that dies between demo and production
Systems built to survive production, then operated in it
Vendor lock-in by design
Everything documented, versioned, and yours
Open-ended retainer, open-ended invoices
Defined build, flat-rate run
Consultant leaves, system rots
We run what we build - indefinitely
Nine-month rollout, 200-slide deck
First agents live in under a week
Generic playbook
Your motion, codified
Why the model works
Every build runs on infrastructure we’ve already made: the Revllama Context Engine and Agent Runtime, plus a single MCP hub that brokers auth for every system behind one endpoint. Audit trails and tiered autonomy come built in. We’re not rebuilding plumbing on your invoice. That’s why the second agent ships faster than the first, why the run phase stays cheap, and why pausing an engagement never means starting over.
Your stack, connected once. What’s true about your business - your ICP, your definitions, your rules - codified and versioned. What’s happening in your accounts, read live. What happened before, kept forever. Every agent, tool, and human reads from the same source of truth.
One endpoint for your entire stack. Every action runs as a real person, with role-based access and a full audit trail. Your team calls the same gateway from Claude, ChatGPT, or Cursor that your agents use in production.
Where every agent we build lives in production. Runs survive retries, redeploys, and week-long waits. Consequential actions pause for a human. Every run carries its own short-lived, scoped credential. Every deploy is an immutable snapshot, so what ran on Tuesday always has an answer.
Per-org schemas. Your data never crosses tenant boundaries.
Sandbox every change before it touches production.
Metered tools are role-gated and budgeted.
During the build we stand up a single MCP hub for your org: every connection with its auth brokered behind one endpoint. Your agents act through it in production, and your team calls the same gateway from Claude, ChatGPT, Claude Code, or Cursor. Same permissions, same audit trail, same gateway.
{
"mcpServers": {
"your-org": {
"url": "https://mcp.your-domain.com"
}
}
}
Connects to 800+ tools in your revenue stack - custom sources for anything else.
Anyone can buy the intelligence you bought. Nobody else has your accounts, your history, your edge cases, or the way your team actually decides. We spend most of every build capturing that - it’s the part that compounds.
What “qualified” actually means, when a renewal is truly at risk, which exceptions get walked down the hall - that lives in people’s heads. We embed to get it out and write it down. Once it’s written down, software can run it.
Most steps in a revenue motion are deterministic. They need software, not tokens. We put LLM judgment only where judgment is needed, and keep a human gate where autonomy isn’t earned yet.
Never overwrite history. What an account looked like last quarter is signal, not stale data. A temporal record of every account compounds in value - and it’s why our systems get smarter the longer they run.
When an agent works from a different version of the truth than your team does, trust dies on the first bad answer. Everything we build reads and writes the systems your people already use, with the same permissions.
Audit trails, versioned rules, staged rollouts, and tiered autonomy aren’t enterprise theater - they’re why the thing is still running a year later.
Real builds, real numbers, anonymized where clients asked.
“The team at Revllama have been & continue to be a vital role in building our core systems.”
$8B+
pipeline driven for customers of our team’s prior practice
“Jake at Revllama was wonderful to work with and very knowledgeable. He was instrumental in our effective AI integrations with Salesforce.”
“Nico & team were great! They were responsive, quick, & very skilled at both understanding the capacity of what AI could do and understanding our needs.”
“It was very enjoyable working with Jake & team. They were super knowledgable and helpful.”
We’ll learn your revenue stack, your motion, and what’s breaking. If there’s a fit, we’ll send a scoped proposal for your first build - first agents live within a week of kickoff.
No commitment. If we’re not the right fit, we’ll tell you.