PartnerPlex AI
How it works

Ask a question. Get the partner motion done.

PartnerPlex AI connects your context, your tools, and AWS’s Partner Portal into one orchestrated agent, accessible from wherever your team already works.

The system

One conversation. Everything moves.

When you ask PartnerPlex AI a question in Slack, Teams, or Claude, it doesn't just answer, it acts. It pulls context from multiple sources, executes across the systems that matter, and surfaces everything back to you in one central view. Here's how.

Ask from anywhere
Slack Teams ClaudeClaude
Context
CRM
Deals, stages, opportunities
Docs & files
QBRs, case studies, SOWs
Partner context
AWS Partner Central
Relationships
Seller contacts
PartnerPlex AI
Orchestration layer
Reasons over full context
Checks rules & eligibility
Executes & self-corrects
Act
Partner Central
Submit partner action
Salesforce
Update deal records
Slack & Teams
Alert team members
Other Partner portals
Run triangulation plays
Central viewEverything surfaces back in PartnerPlex AI
MDF claimed
$184K
Co-sell pipeline
$2.1M
QBR briefs
Ready
Programs active
14
1Context

What it knows before you ask

It connects to your CRM, your docs and files, your strategic partner programs, and your partner relationships, so every action is grounded in real context, not generic advice.

2Act

Where it executes

It submits co-sell requests to AWS, updates Salesforce, drafts messages, logs win wires, and keeps multiple portals in sync, from one conversation. No tab switching, no re-entering data.

3Central view

Everything in one place

Every action and update flows into a single dashboard across all programs and deals, pipeline, MDF claimed, co-sell status, QBR briefs, always current.

The interface

Chat in Slack, Teams, or Claude, your choice

PartnerPlex AI lives where your team already works. There's no new tool to learn, no new login to remember. Your team starts using it the day it's connected.

Slack Teams ClaudeClaude
What makes it different

Not a chatbot. An agent with a body.

A raw AI model is just a brain, it can answer questions, but it can't act. What transforms a language model into an autonomous agent is a harness: the software infrastructure wrapped around the model that lets it connect to tools, remember context, follow rules, and execute multi-step tasks in the real world.

Most companies trying to build an agent themselves discover quickly that the harness is harder than the model prompting. PartnerPlex AI has built one specifically for the partner motion, pre-wired for partner programs, partner portals, and the workflows your team runs every day.

Tool access

PartnerPlex AI connects to AWS Partner Central, Salesforce, Slack, and Teams, not as a read-only integration, but as an active participant that can submit, update, draft, and log on your behalf.

Memory

PartnerPlex AI remembers your deal history, your partner relationships, your past wins, and your program status. It doesn't forget between conversations. Every interaction is informed by everything that came before.

Guardrails

PartnerPlex AI operates within defined rules, who can see which deals, who can request which actions, under which partner program's policies. It won't submit a co-sell request you're not eligible for, or share deal data with a partner who shouldn't see it.

Orchestration

PartnerPlex AI manages multi-step partner tasks end to end, it reasons, acts, observes the outcome, and self-corrects. A co-sell request is pulling the deal, checking eligibility, formatting the submission, sending it, and confirming back. It handles the whole chain.

Build it yourself vs. use it today

You could build this. Here's what that actually means.

As LLMs become more capable, more teams are asking whether they should build their own partner automation. The answer depends on whether you want to manage the work, or the infrastructure behind it.

DIY
PartnerPlex AI
Time to first action
6–12 months to build and test
Same day you connect your stack
Partner program knowledge
Your team has to encode it
Pre-built and kept current
MCP maintenance
Every connector breaks and needs fixing
Maintained for you
RBAC and permissions
You define every rule per partner
Built in to every action
Edge cases
You find them the hard way
Already handled
Model and prompt tuning
Ongoing engineering work
Optimized for partner workflows
Cost
Engineering team + infrastructure
One subscription

Building a partner agent harness is a full-time engineering project. PartnerPlex AI gives you the outcome without the overhead, so your team spends time on partner relationships, not agent infrastructure.

Start free trial Talk to us about your setup
Security

Secure by design. Not an afterthought.

Partner data is sensitive. Deal data is sensitive. The programs your team accesses carry real financial and contractual weight. PartnerPlex AI is built from the ground up to handle that, not retrofitted with security after the fact.

Certified · Done

SOC 2 Type 2

Independently audited for the security, availability, and confidentiality controls enterprise teams require. Not in progress. Done.

Partner data controls

PartnerPlex AI only shares deal data with partners authorized to see it, per program rules, per deal, per request. The guardrails are built into the harness, not managed by hand.

Encryption

All data is encrypted in transit and at rest, with data residency controls for enterprise deployments.

Request SOC 2 Type II report
Built for your role

See what this means for your team

How PartnerPlex AI works is the same for everyone. What it means for your day depends on where you sit.

Ask PartnerPlex AI

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