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The Multi-Agent Consulting Engine

Consulting-as-Code™ replaces the consulting pyramid with a parallel, multi-agent reasoning system.

Where humans work sequentially, agents work concurrently. Where humans forget, agents share memory. Where humans argue politically, agents argue logically.

System Overview

Strategic Call Intelligence — 9 Discovery Agents

The engine consists of 15 autonomous agents, divided into two layers:

  1. Strategic Call Intelligence (SCI) — 9 agents
  2. AI Discovery Engine — 6 agents

Together, they execute the entire consulting lifecycle from a single conversation.

Layer 1: Strategic Call Intelligence (SCI)

Purpose:
Replace the discovery phase.

Traditional discovery: - 3–6 weeks - $50K–$200K - Dozens of interviews - High signal loss

SCI does this in 180 seconds.

SCI Agents

  1. Metadata Extractor
    Establishes context: company, participants, timing, meeting type.

  2. Pain Point Extractor
    Identifies explicit and implicit problems with severity and attribution.

  3. Budget & ROI Analyzer
    Extracts budget signals, approval authority, and cost of inaction.

  4. Decision Maker Identifier
    Maps stakeholders, influence, blockers, and champions.

  5. Competitive Intelligence Agent
    Extracts vendor context, evaluation criteria, and competitive pressure.

  6. Timeline & Urgency Assessor
    Detects deadlines, urgency drivers, and execution windows.

  7. Next Steps Recommender
    Produces immediate, prioritized action items.

  8. Technical Requirements Extractor
    Identifies integration constraints, infrastructure limits, and blockers.

  9. Scaling Context Extractor
    Detects pilot-to-program dynamics and calculates scale economics.

SCI Output

A fully structured Discovery Profile containing: - Signals - Constraints - Risks - Opportunities - Prioritizations

This profile becomes immutable input to the Logic Core.

Layer 2: AI Discovery Engine

Purpose:
Replace middle management and partner execution.

These agents transform the Strategic Blueprint into a board-ready strategy.

AI Discovery Agents

  1. Use Case Identification Agent
    Generates and prioritizes use cases based on feasibility and impact.

  2. Financial Intelligence Agent
    Computes margin-correct economics and true addressable value.

  3. Vendor Research Agent
    Maps solutions, evaluates build vs. buy, enforces compliance.

  4. Roadmap Creation Agent
    Builds phased execution plans with dependencies and budget alignment.

  5. Risk Analysis Agent
    Identifies implementation risks with probability and mitigation.

  6. Results Finalization Agent
    Assembles all outputs into executive-ready deliverables.

What This Replaces

This system replaces: - Discovery workshops - Analyst research - Manager synthesis - Partner review cycles - Slide deck arbitration

Not by speeding them up — by removing them entirely.