Automate, Personalize, and Orchestrate every customer engagement —
from first touch to long-lasting relation.

Most mid-size companies have never formally defined their sales process. It exists as tribal knowledge and rep improvisation. Before any platform configuration begins, we map what actually happens, design what should happen, and translate that into a blueprint every subsequent workflow is built against.

• Audit the existing process across six dimensions: go-to-market fit, pipeline architecture, role clarity, activity quality, data & measurement, and tooling alignment
• Conduct structured stakeholder interviews with reps, managers, and leadership
• Mine CRM and activity data to surface what actually happens in deals
• Facilitate an ideal process design workshop with sales leadership
• Deliver a full Process Blueprint and Process-to-Orchestration Map

Key deliverables: Process Diagnostic Report, Ideal Process Blueprint, Process-to-Orchestration Map, Change Management Program

Your tools don't talk to each other. Data lives in silos. Reps toggle between five systems to get context that should surface automatically.

• Audit and map every tool in the current stack against its process step
• Design and build native connectors to all relevant tools
• Normalize data across sources into a unified account and contact schema
• Implement CRM hygiene automation — deduplication, enrichment, field enforcement
• Stand up the Signal Aggregator to begin collecting cross-tool signals

Key deliverables: Integration & Signal Hub, Signal Aggregator, Stack Audit, Data Normalization Sprint

Your team doesn't know which accounts are ready to buy until a prospect reaches out. By then, you're reactive.

• Define which signals matter for your specific ICP and sales motion
• Configure the cross-tool signal aggregator across all connected sources
• Build and calibrate a proprietary Account Readiness Score surfaced as a native CRM field
• Train the intent model on your historical win/loss data
• Set up signal-to-action triggers that launch plays automatically

Key deliverables: Cross-Tool Signal Engine, Proprietary Intent Model, Signal Strategy Workshop, Quarterly Signal Audit

Your best reps have a winning motion. Your average reps improvise. When a top performer leaves, their knowledge walks out with them.

• Run a Playbook Documentation Sprint — capturing winning plays, talk tracks, and objection responses
• Build a trigger-based play library mapped to signals, deal stages, personas, and verticals
• Configure the AI Play Recommender to surface the highest-probability play per account and signal
• Set up cross-tool play execution — triggering sequences, CRM tasks, and Slack alerts simultaneously
• Implement play performance tracking to measure conversion impact

Key deliverables: Dynamic Playbook Activator, AI Play Recommender, Playbook Documentation Sprint, Play Performance Reviews

True 1:1 personalization doesn't scale. Generic mail-merge isn't persuasive. The right answer is somewhere in between — and most teams never find it.

• Design a messaging architecture by vertical, persona, and deal stage
• Configure the account context aggregator — pulling news, job changes, and intent signals into one brief
• Build the AI message drafter — generating personalized outreach injected into the sequencing tool for review
• Set up the automated Pre-Call Intelligence Brief — delivered via Slack before every meeting
• Build dynamic proposal templates that pull account-specific data automatically

Key deliverables: Cross-Channel Coordinator, Pre-Call Brief Generator, Messaging Architecture Design, Message Optimization

Sequences are generic. Multiple reps contact the same account with conflicting messages. The buying committee is never fully mapped.

• Design the end-to-end outbound motion per segment — SDR-to-AE handoff, committee coverage, channel mix
• Build a multi-channel sequence library by vertical and persona — email, LinkedIn, and phone coordinated
• Configure the Buying Committee Orchestrator — parallel outreach tracks per stakeholder in the same account
• Implement deduplication and response handling — pausing sequences on replies, OOOs, and engagement events
• Set up outbound performance benchmarking against anonymized platform peers

Key deliverables: Multi-Channel Coordinator, Buying Committee Map, Outbound Motion Design, SDR Enablement Program

Deals go dark. Managers don't know which opportunities are genuinely healthy and which are quietly dying. Forecasts are based on gut feel.

• Configure the Deal Health Score — combining CRM data, email engagement, call activity, and intent signals
• Build the buying committee tracker — mapping and monitoring all stakeholders in active deals
• Set up deal risk alerting via Slack — notifying reps and managers when health drops below thresholds
• Deploy the Next Best Action engine — recommending the highest-priority action per deal
• Implement the Mutual Action Plan module — shared buyer/seller milestones synced to CRM deal stages
• Run structured pipeline review facilitation using platform data as the single source of truth

Key deliverables: Deal Orchestration Engine, Deal Health Score, Mutual Action Plan Module, Pipeline Review Facilitation

Revenue data lives in five different tools with five different definitions. Every pipeline review starts with a debate about the numbers rather than a decision about the business.

• Build the unified Revenue Command Center — pulling data from all connected tools into one dashboard
• Define the right KPI framework at rep, manager, and executive level
• Implement multi-touch revenue attribution — connecting marketing and sales activities to closed revenue
• Deliver cross-client benchmarking — how your metrics compare to similar companies on the platform
• Design and facilitate quarterly business reviews anchored to platform data

Key deliverables: Unified Revenue Layer, Revenue Command Center, Cross-Client Benchmark Report, QBR Facilitation

Mid-size companies need someone to own the revenue stack, the data integrity, and the workflow optimization — but can't justify a full-time Senior RevOps hire.

• Own the full platform configuration, integration health, and data governance
• Proactively monitor connector health and data quality — fixing issues before reps feel them
• Drive rep and manager adoption through training, feedback loops, and incentive design
• Optimize active workflows based on performance data
• Run monthly RevOps review covering platform health, adoption metrics, and optimization priorities

Key deliverables: Full Platform Managed Mode, RevOps Command Center, Fractional RevOps Retainer, Tech Stack Rationalization

Knowledge at mid-size companies is trapped in email threads, call recordings, Slack messages, and people's heads. Without a structured retrieval system, AI tools hallucinate, playbooks go stale, and every rep reinvents the wheel.

• Ingest and structure all existing knowledge assets — Drive, Notion, CRM notes, Gong recordings, Slack
• Build the knowledge taxonomy and entity graph — classifying by type, tagging by vertical, stage, and persona
• Stand up the RAG pipeline — chunking, embedding, and indexing all structured knowledge for retrieval
• Run the initial Fine-Tuning Program — training the model on your historical win/loss and call data
• Deploy the RAG Quality Scorer — catching retrieval failures before reps experience them
• Implement the Continuous Training Retainer — periodic retraining with drift monitoring and versioning

Key deliverables: Knowledge Intelligence Hub, Knowledge Audit, RAG Pipeline, Fine-Tuning Program, Continuous Training Retainer