Your institutional knowledge.
Every LLM's power.

Turn your best people's expertise into AI agents anyone on the team can use — no code, any model, enterprise-ready.

Built by operators from Axos Bank, Google, Bank of America, Comcast Voice AI

agentshelf.ai/workspace/acme-sales
Agent Team
★ Acme Sales Pod
MP
Meeting Prep
AO
Account Outreach
FU
Follow-Up Writer
CS
Customer Support
Recent
KB
Knowledge Base
Team
EF
Eric F.
JT
Jordan T.
Meeting Prep Agent
TeamAcme Sales Pod
Model
G
Gemini 2.5 Flash
MP
Acme brief is ready. One thing worth flagging — their CTO raised vendor lock-in in the RFP. That's come up in 3 of your last 5 enterprise deals. Northbridge most recently.
EF
How did we handle it with Northbridge?
MP
You closed them with the FinServ migration story — 3 providers switched in under 48 hours, zero downtime. Added it to your brief with the relevant slide from your team's deck.
Want me to hand this off to Follow-Up Writer to draft a post-call email template for after the Acme meeting?
Meeting Prep Follow-Up Writer
Ask the Meeting Prep agent anything...
Agent Context
📄 acme-account-profile.md
📄 competitive-playbook.md
📄 meeting-notes-jan22.md
📄 pricing-objections.md
Model
G
Google
Gemini 2.5 Flash
A
Anthropic
Claude Opus 4.6
O
OpenAI
GPT-4o
Shared With
👤 Acme Sales Team (4)

AI Works For Individuals. Organizations Can't Scale It.

LLMs can do everything. Which is why most organizations can't do anything with them.

Theoretical AI Capability Actual Enterprise Adoption
Radar chart showing gap between theoretical AI capability and actual enterprise adoption across industries

Source: Anthropic, March 2026

Why the gap?

Nobody Can Build What They Need

Teams can't turn their specific workflow into a tool. The capability is there. The last mile isn't.

What Works Can't Scale

Every org has power users who've figured it out. That knowledge lives in their heads. No way to share it, templatize it, or hand it off.

Shadow AI Fills the Vacuum

40% of orgs have AI subscriptions. 90%+ of employees still use personal accounts. Employees are choosing their own tools. Without infrastructure, adoption goes underground.

Source: Harmonic Security, 2026

The gap isn't intelligence.
It's infrastructure.

Every AI platform forces a tradeoff. AgentShelf doesn't.

Three categories. Three traps. One way out.

Easy + PowerfulNot Open

The Lock-In Trap

Anthropic • OpenAI • Microsoft • Salesforce

Enterprise-grade, but you're married to one ecosystem. Switch models? Rebuild everything.

Easy + OpenNot Powerful

The Wrapper Trap

Lindy • Relevance AI • MindStudio

Easy to start, but built for individuals — not teams. No shared context, no governance, and you'll outgrow them fast.

Powerful + OpenNot Easy

The DIY Trap

LangChain • CrewAI • n8n

Maximum power, maximum cost. You'll need a dev team before your first agent ships.

AgentShelf.ai addresses all three — no compromise
Open

Zero Ecosystem Lock-In

Any model, your API keys, switch providers anytime — OpenAI, Anthropic, Gemini, DeepSeek, and more.

Powerful

Real Depth, Not a Wrapper

Agents execute real code in isolated sandboxes. Three-tier shared context across platform, org, and team.

Easy

Production-Ready Without Engineers

No-code agent builder to production in hours. Multi-agent orchestration built in, not bolted on.

AgentShelf is the layer that makes it work.

Shared context. Any model. Governed by default.

Real decisions your team faces every week.

Each one used to take 30 minutes of searching and copy-pasting. Now it's a conversation.

Knowledge

Tribal knowledge, on demand

"What's our process for handling enterprise procurement?"

Search shared docsPull playbook sectionsCite sourcesAnswer in seconds

Sales

Meeting prep in seconds

"I have a call with Acme in 20 minutes."

Pull account contextDraft talking pointsReference last meeting notesShare with team

Support

Ticket resolution from your docs

"Customer says their integration broke after the update."

Search knowledge baseMatch known issueDraft responseEscalate if needed

Built for the most demanding security teams.

Your agents will pass any security review. Bank-grade encryption, full audit trails, and governance controls built in from day one.

Your keys, your data

Bring your own API keys. Your data is never used for model training. AES-256 encryption at rest and in transit — you stay in control.

Complete audit trail

Every agent action, every user interaction, every cost event — logged, timestamped, and attributable. Built for SOC 2, HIPAA, and GDPR requirements.

Governed by default

Role-based access at every level. SSO with Google, Microsoft, GitHub, and SAML. Budget enforcement per user, team, and workspace.

SOC 2 Type II
Ready
HIPAA
Ready
GDPR
Compliant
AES-256
Encryption

Questions we get asked a lot.

"We already have ChatGPT / Gemini enterprise licenses."

Good — that means your team already knows AI works. AgentShelf doesn't replace your LLM. It sits on top and adds what's missing: shared context across agents, team-wide visibility, and the ability to switch models per task. Your reps keep using the best model for each job. Leadership gets the governance layer they need to scale it.

"Do I need engineers to use this?"

"We're happy with one LLM provider. Why do we need model optionality?"

"Is my data secure?"

"What stops Microsoft or Salesforce from just building this?"

"How long does setup take?"

Early Access Open

Ready to put your team's expertise to work?

Get early access to the platform that turns institutional knowledge into governed AI agents. Limited spots — we onboard hands-on.