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AI & Agents

AI-Ready Data, Decision Intelligence, and Custom Agents for Revenue Teams

AI agents fail when the data beneath them is raw, fragmented, and poorly defined, as it often is in CRM, ERP, billing, and product systems.

Discern turns raw source data into AI-ready business data through labeling, definitions, transformations, and derived business metrics — delivered through our MCP server or written back to your warehouse.

On top of that foundation, Discern adds a decision layer for forecasting revenue across pipeline, funnel, and retention, and builds custom agents that analyze, forecast, recommend, and act using trusted business context.

Discern AI - Production-Ready AI Agents for Revenue Operations

The Missing Layers Between Data and Action

Why Most AI Agents Fail

Companies struggle to operationalize AI because:

  • Raw data doesn’t work well with AI — results are messy and unreliable
  • Prompting alone isn’t enough — engineering is required for detailed access and building skills
  • Requirements are vague — outputs are generic
  • Systems aren’t connected — no real action
  • Maintenance is ignored — agents degrade over time

The Discern Approach

Discern solves this with a full-stack approach:

  • Data Layer — Label, define, transform, and calculate derivative business metrics from raw systems
  • Decision Layer — Forecast revenue and operating outcomes using pipeline, funnel, and retention inputs
  • Flexible Delivery — Serve data through Discern’s MCP server or write it back into your warehouse
  • Custom Agent Building — Build agents on top of Discern’s data and decision layers for specific workflows

Every Discern agent is powered by two underlying systems:

  1. a data layer that creates labeled, defined, transformed, derivative business data
  2. a decision layer that models future outcomes and supports recommendations
Execute Multi-Step Workflows

Execute Multi-Step Analytical Workflows

Like a human analyst, agents gather data, apply business logic, run calculations, identify patterns, and synthesize conclusions — across multiple systems and time periods.

Monitor Performance

Monitor Performance Continuously

Agents don’t wait for someone to run a report. They continuously analyze pipeline, revenue, and operational data — detecting anomalies and emerging risks as they develop.

Generate Recommendations

Generate Structured Recommendations

Every agent output is structured and decision-ready: clear “on track / at risk” signals, root cause breakdowns, and specific recommended actions aligned to your KPIs.

Communicate Proactively

Communicate Proactively

Insights are delivered where your team already works — Slack, Microsoft Teams, or email. No login required to stay informed.

Coordinate Across Systems

Coordinate Across Systems

Agents pull context from CRM, marketing, finance, billing, and product systems simultaneously. Actions and insights aren’t siloed — they reflect the full picture.

AI Agents, Powered by Discern Intelligence Modules

Every Discern AI agent is built on top of one of our proven intelligence modules. The agent inherits the module’s data transformations, business logic, and metric definitions — ensuring Investor-Grade Truth™ in every output.

Pipeline Health Agent

Do we have enough pipeline to hit our targets?

  • Continuously evaluates pipeline coverage against bookings goals.
  • Analyzes coverage ratios by segment, region, and team.
  • Applies historical conversion rates and velocity trends.

Output: Clear “on track / at risk” signals, root cause breakdown, recommended actions.

Funnel Performance Agent

Where are deals breaking down in the funnel?

  • Analyzes conversion across every stage of your sales funnel.
  • Tracks stage-by-stage conversion rates and velocity.
  • Flags statistically significant deviations from historical norms.

Output: Real-time red flags, root cause analysis, targeted conversion recommendations.

Rep Productivity Agent

Which reps are on track — and who needs support?

  • Evaluates rep-level performance across pipeline activity, conversion, and outcomes.
  • Benchmarks against team averages.
  • Identifies reps at risk of missing targets early in the quarter.

Output: Rep scorecards, early intervention alerts, data-driven coaching recommendations.

Deal Inspection Agent

Which deals are real — and which are at risk?

  • Performs deep deal-level analysis to assess quality, risk, and likelihood of closing.
  • Evaluates progression, activity, and engagement signals.
  • Detects stalled or at-risk deals.

Output: Deal-level risk scoring, prioritized “deals to inspect” list, suggested actions.

From Idea to Production in Weeks

Week 1 Define

Week 1 — Define

Identify use cases. Align on KPIs and workflows. Specify agent behavior and output format.

Week 2 Build

Week 2 — Build

Integrate systems. Configure data pipelines. Develop agent logic and multi-step workflows.

Week 3 Test

Week 3 — Test

Validate outputs against historical data. Stress test workflows. Refine prompts and logic.

Week 4 Launch

Week 4 — Launch

Deploy into production. Enable team workflows. Begin continuous improvement cycle.

How Customers Use Discern

Use Discern to prepare business-ready data for AI. Access it through MCP or sync it back into your warehouse for broader internal use.

Use Discern’s forecasting and modeling layer to understand where revenue is headed across pipeline, funnel, and retention.

Use Discern as the foundation for tailored agents that answer questions, monitor KPIs, surface risks, and support workflows.

Connect your CRM and get access to Discern’s out-of-box AI agents — free. See pipeline health signals, deal risk scores, and data quality alerts in minutes, not months.

Ready for AI That Actually Drives Decisions?

AI agents that actually work — built on decision-ready data, not raw inputs. Pipeline health, deal inspection, data quality automation, and proactive insights.