Vol. 01 / Issue: integrationFor heads of product, revops, cs & support

Your customers'
agentscopilotsassistantsmodelsagents are about
to use your product.

Make sure they can.

One GitHub install. Lever auto-builds your MCP. Every agent, automatically.

One GitHub install. Lever auto-builds your MCP from your code. Every workflow in your product, drivable by every agent now and next.

Get early access See how it works

6 wks

saved per platform

backend rewrites

every

agent, automatically

fig. 01 · N agents · 1 integration live

claude ·chatgpt ·cursor ·gemini ·perplexity ·raycast ·windsurf ·v0 ·claude ·chatgpt ·cursor ·gemini ·perplexity ·raycast ·windsurf ·v0 ·claude ·chatgpt ·cursor ·gemini ·perplexity ·raycast ·windsurf ·v0 ·claude ·chatgpt ·cursor ·gemini ·perplexity ·raycast ·windsurf ·v0 ·

01The problem

AI gave them eyes. They need hands.

The work in B2B SaaS lives in the UI. Salesforce setup, Zendesk admin, Marketo campaign builder, your product. Agents can read those screens. They can't drive them.

Every platform wants its own integration.

Claude, ChatGPT, Cursor, Gemini. Each is a quarter-long project. ~6 engineer-weeks per platform, then maintenance forever.

ii.

Hand-rolled coverage caps at 10–20%.

A dedicated team writes 80 tools and ships. Customer agents hit a working flow, then a broken one, conclude you're unreliable, and route around your product.

iii.

By Q4 2026, “no” disqualifies you in the RFP.

Gartner: 80%+ of enterprise SaaS RFPs will ask about agent compatibility. Your sales team is already getting the question.

02How it works

Three things you do. Once.

Install. Lever auto-builds your MCP. Hand a key to each user's agent. No backend rewrite.

github.cominstall · lever ai

Install Lever AI on a repository

Read access · code, metadata

Awaiting install…

// what it actually looks likestep 1 / 3

// in your browser:

→ install lever-ai github app

→ pick acme/widget-app

✓ repository linked

✓ build queued

then, forever

→

Every push to your repo rebuilds your MCP.

Add a feature, ship a commit. The tool catalog updates itself. Your previous version keeps serving while the new one builds, so agents in flight never break.

→

You ship to every agent that exists.And every one that doesn't, yet.

Claude, ChatGPT, Cursor, Gemini, anything that speaks MCP. Whatever launches next quarter picks you up automatically.

03What you get

The boring kind of magic.

The version of "AI-ready" your CFO will sign off on.

fig.

Days, not quarters

Compress the integration project from 6 weeks per platform to one afternoon, total.

fig.

Complete coverage

Every workflow, not the 10–20% a hand-rolled team can ship.

fig.

Frontend team ships it

No backend rewrite. No on-call pager. No platform team meeting.

fig.

Works with what you have

Your product, your auth, your data. Calls run in the user's existing session.

04Who benefits

Six business cases. One product.

A universal remote control for your SaaS. Sold into onboarding, growth, CS, strategy, productivity, and platform.

01 · Implementation compression

fig.

TTFV from 90 days to 9.

Cut implementation services 70%. Onboarding-by-prompt replaces 8-week consulting engagements with two days of agent-driven config.

02 · Activation & PLG

fig.

Activation cliff, closed.

User describes their goal in plain English. Agent configures the workspace. First value moment hits at minute five, not day fourteen.

03 · CSM capacity

fig.

30% of CSM time, reclaimed.

QBR prep, expansion plays, custom reports. The agent operates your product on the CSM's behalf. Same headcount, deeper accounts, higher NRR.

04 · AI displacement defense

fig.

Win the AI RFP.

AI-native challengers don't have your depth. They have agent-readiness. Lever gives you both. Close the gap that costs deals to Decagon, Sierra, Clay, Harvey.

05 · Power-user productivity

fig.

Every seat, 30% more output.

Power users describe what they want; the agent operates the configuration UI for them. Higher seat utilization, more expansion, less churn.

06 · Agent-era distribution

fig.

Agent-default in your category.

Show up in Claude Skills, OpenAI Apps, MCP catalogs with full coverage instead of token surface area. Be the SaaS agents reach for, not the one they route around.

05Why now

Two lines just crossed.

fig. 02 · cost to integrate, per platform2024 → 2026

The agent standard just became universal across OpenAI and Anthropic. The browser tech that powers our approach just shipped.

Last year: impossible. Next year: late.

Standard

Universal

OpenAI · Anthropic

Browser

Shipped

Stable, in users' hands

Window

Open now

Closing in ~1 yr

06FAQ

Questions you'd ask.

Don't see yours? hello@uselever.ai.

No. Lever reads your existing frontend (routes, forms, components) and turns each workflow into a callable tool. No SDK to add, no new endpoints to ship.

Claude, ChatGPT, Cursor, Gemini, and anything that speaks MCP. New agents are picked up automatically the moment they ship.

~6 engineer-weeks per platform. A dedicated team gets you to 10–20% coverage, which is worse than zero, because partial coverage trains agents to give up on you. Lever ships complete coverage on day one.

Each end-user gets a scoped key your backend mints and revokes. Their sign-in to your product happens through a per-user session your code controls; Lever drives the UI on their behalf with the same permissions they already have. Customer secrets and end-user keys are stored only as one-way hashes; Lever staff can't read them back. SOC 2 in progress.

This week. Email hello@uselever.ai and we'll get you set up.

Your customers'
agentscopilotsassistantsmodelsagents are about
to use your product.

Make sure they can.

AI gave them eyes. They need hands.

Every platform wants its own integration.

Hand-rolled coverage caps at 10–20%.

By Q4 2026, “no” disqualifies you in the RFP.

Three things you do. Once.

InstallInstall Lever's GitHub App on your repo.

BuildLever turns your code into an MCP.

DistributeMint a key per end-user. Hand it to their agent.

Every push to your repo rebuilds your MCP.

You ship to every agent that exists.And every one that doesn't, yet.

The boring kind of magic.

Days, not quarters

Complete coverage

Frontend team ships it

Works with what you have

Six business cases. One product.

TTFV from 90 days to 9.

Activation cliff, closed.

30% of CSM time, reclaimed.

Win the AI RFP.

Every seat, 30% more output.

Agent-default in your category.

Two lines just crossed.

Questions you'd ask.

Do I need to rewrite my product?

Which AI platforms does this work with?

How is this different from building it ourselves?

What about security?

When can I start?

Your customers'agentscopilotsassistantsmodelsagents are aboutto use your product.

Make sure they can.

AI gave them eyes. They need hands.

Every platform wants its own integration.

Hand-rolled coverage caps at 10–20%.

By Q4 2026, “no” disqualifies you in the RFP.

Three things you do. Once.

InstallInstall Lever's GitHub App on your repo.

BuildLever turns your code into an MCP.

DistributeMint a key per end-user. Hand it to their agent.

Every push to your repo rebuilds your MCP.

You ship to every agent that exists.And every one that doesn't, yet.

The boring kind of magic.

Days, not quarters

Complete coverage

Frontend team ships it

Works with what you have

Six business cases. One product.

TTFV from 90 days to 9.

Activation cliff, closed.

30% of CSM time, reclaimed.

Win the AI RFP.

Every seat, 30% more output.

Agent-default in your category.

Two lines just crossed.

Questions you'd ask.

Do I need to rewrite my product?

Which AI platforms does this work with?

How is this different from building it ourselves?

What about security?

When can I start?

Your customers'
agentscopilotsassistantsmodelsagents are about
to use your product.