Professional-services AI Coordination Playbook
Coordination practices for consulting, accounting, legal, and advisory firms running AI agent teams. Covers engagement management, utilization tracking, knowledge reuse, compliance walls, and client relationship orchestration.
Pipeline
Competitive Intelligence on Active Deals
When a proposal is in flight, the pipeline agent monitors for signals that the prospect is also evaluating competitors: LinkedIn connections, event attendance, public RFP postings. The partner gets an early warning rather than a surprise loss.
What goes wrong without this
The firm submits a $200K proposal and waits 3 weeks for a response. The prospect chose a competitor 2 weeks ago but has not informed the firm. The partner is still forecasting the deal as "likely."
Pipeline Revenue Forecasting with Probability Weighting
The sales agent assigns probability weights to every active proposal based on stage: Identified (10%), Proposal Submitted (25%), Shortlisted (50%), Verbal Commitment (75%), Signed (100%). The finance agent uses weighted pipeline to forecast quarterly revenue. The resource agent uses it to forecast hiring needs. One dataset drives three agent decisions. Unweighted pipeline is fantasy.
What goes wrong without this
The pipeline shows $2M in "active opportunities." The partners plan hiring accordingly. But $1.5M of it is at the "Identified" stage with 10% probability. Weighted pipeline is $500K. The firm hires 3 consultants for engagements that never materialize. Bench costs eat the quarter's margin.
Pipeline Velocity Tracking
The pipeline agent tracks every proposal from creation to decision: days in each stage, conversion rates by industry and service line, average deal size, and win/loss reasons. Partners see their pipeline health in real time, not in quarterly reviews.
What goes wrong without this
The firm's pipeline shows $3M in proposals. Average age is 90 days. Half of them are stale. The real pipeline is $800K. The firm does not hire because the pipeline looks full. Revenue drops 30% next quarter.
Proposal Pricing Coordination with Delivery
The sales agent cannot finalize proposal pricing without the delivery agent's estimate. The delivery agent provides: estimated hours by role, required skills, known risks, and assumptions. The pricing agent applies the firm's rate card and margin targets. If the client's budget is below the delivery estimate, the sales agent must either reduce scope or walk away. No proposal is submitted with pricing that delivery cannot support.
What goes wrong without this
The sales partner prices a proposal at $100K to win the deal. Delivery estimates $140K in effort. The firm wins and immediately begins losing money. The project manager is told to "find efficiencies." They cut corners. Quality suffers. The client is unhappy. The firm lost money AND reputation.
Win/Loss Analysis as Feedback Loop
After every proposal decision (win or loss), the sales agent records: why the client chose or rejected the firm, competing firms, price comparison, and decision factors. The analytics agent aggregates quarterly. If the firm loses 60% of deals on price, the pricing strategy needs review. If the firm wins 80% of deals from referrals and 20% from cold outreach, marketing should invest in referral programs.
What goes wrong without this
The firm submits 20 proposals per quarter and wins 5. Nobody knows why the other 15 were lost. The partners assume "we need more proposals." They increase marketing spend. But the real issue is that they lose every deal over $200K because their proposals lack case studies. More volume does not fix a conversion problem.
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