> ## Documentation Index
> Fetch the complete documentation index at: https://docs.introw.io/llms.txt
> Use this file to discover all available pages before exploring further.
# Channel Conflict Resolution
> Let AI detect when a partner-registered deal overlaps with a direct or another partner's deal, and guide a fair, fast resolution before it becomes a dispute.
export const Headless = ({prompts = []}) => {
const PromptRow = ({prompt}) => {
const [copied, setCopied] = useState(false);
const copy = () => {
try {
navigator.clipboard?.writeText(prompt);
} catch {}
setCopied(true);
setTimeout(() => setCopied(false), 1600);
};
return ;
};
return <>
Introw is headless by design: run everything here in plain language from Claude, ChatGPT,
Slack, Teams, or your own CRM through Introw's MCP server, with every
action written straight back to your CRM source of truth. The portal is one surface, never the only one.
{prompts.length > 0 ? :
The agentic playbook - lifecycle deep dives and a Claude Code skill library that run your partner program
from Claude, ChatGPT, Slack, and your CRM.
}
;
};
> Channel conflict kills trust with partners. AI spots overlapping deals the moment they appear and guides a fair resolution, before it turns into a dispute.
## What it does
When a partner registers a deal, Introw's AI checks it against existing direct and partner deals to find overlap on the same account or opportunity. If it detects a likely conflict, it flags it with the context, who is involved, which deal came first, and the relevant rules, and helps your team resolve it quickly and consistently. Instead of conflicts surfacing late in a heated email thread, they are caught at registration and handled by clear rules of engagement.
The AI does the detection and triage; your team stays in control of the decision.
## The problem it solves
* **Conflicts surface too late and damage trust** → AI flags overlap the moment a deal is registered.
* **Resolution is inconsistent and political** → The AI brings the facts and rules to every case.
* **Reps and partners distrust deal registration** → Fair, fast handling makes registration credible.
* **Ops cannot manually police every deal** → AI screens every registration automatically.
## From problem to solution
Instead of discovering a clash when two teams are already working the same account, the conflict is caught at registration with the full context. Your team applies clear rules of engagement and resolves it fast, so partners trust the program and the direct team stays aligned.
```mermaid theme={"theme":{"light":"github-light","dark":"github-dark"}}
flowchart LR
register["Deal registered"] --> catch["Conflict caught at intake"]
catch --> rules["Rules of engagement"]
rules --> resolve["Resolved fast"]
```
## Use cases
Flag conflicts at registration, not at close.
Apply the same rules to every case.
Handle conflicts fairly and fast.
Check every registration automatically.
## Impact
* **AI-native** - the agent screens and triages conflicts while your team decides.
* **CRM-native** - conflicts are detected across the deals already in your CRM, so nothing slips through a separate registration silo.
* **Trust & accuracy** - conflicts are resolved on facts, keeping the channel credible.
## Who it's for
Keeps direct and partner motions aligned.
Enforces conflict rules without manual policing.
## Works with
{/* CONNECTS:START - generated content goes here */}
Screen every registration for conflict.
Detect overlap with reseller claims.
## Headless
## Going deeper
Setup, configuration, and all how-to guides.
Endpoints and code.