Beyond call recording: getting real ROI from Gong
Most teams treat Gong as expensive call storage. The return is in coaching, deal execution, and forecast accuracy. Here is how to move from recording to results.
Read the full post →Account, opportunity, engagement, and project management unified, configured for AI/data services pricing and delivery models.
Contract management that supports time-and-materials, fixed-fee, outcome-based, retainer, and hybrid pricing without forcing them into one shape.
Confluence or Notion integrated into your CRM so that every project benefits from prior project learning.
Templated onboarding workflows triggered by deal close, kickoff scheduling, document collection, environment provisioning, team intros.
Structured ROI baselines, ongoing measurement, and client-ready ROI reporting built into every engagement.
SOC 2 readiness, ISO controls, and the technical and process infrastructure to pass enterprise security reviews.
The technology and process challenges that come up in nearly every engagement we run in this industry.
Most AI firms start small and excellent. Growing past 20 people without losing what made you good is the central operational challenge.
Outcome-based pricing, retainers, license-plus-services, AI firms experiment with pricing models that legacy CRM does not support well.
AI work is full of repeating patterns. Capturing and reusing them is a major productivity lever.
AI clients expect fast onboarding. Every day of internal admin is a day they could be getting value.
Enterprise procurement teams want hard ROI numbers. AI firms need infrastructure to capture and demonstrate them.
SOC 2, ISO 27001, and customer-specific security requirements increasingly gate AI deals. The infrastructure to meet them is non-trivial.
Compliance is not a separate workstream, it is embedded in every workflow we deliver. The major frameworks we work within:
AI system classification, risk management evidence, transparency requirements, and conformity assessment workflows.
AI RMF implementation, risk profile documentation, and governance workflows aligned to NIST guidance.
AI management system certification preparation, control evidence, and continuous improvement workflows.
Sector regulations as they apply to AI systems, data handling, audit logging, and decision explainability requirements.
Training data provenance, output review workflows, and IP risk documentation for generative AI deployments.
Emerging state AI laws (Colorado, California, NYC bias audit), disclosure, impact assessment, and audit workflows.
Each category represents a deep specialization with dedicated playbooks, accelerators, and experienced practitioners.
Salesforce + PSA configured for AI/data services pricing and delivery.
Structured ROI capture and client-facing reporting.
SOC 2, ISO 27001, and enterprise-grade security infrastructure.
AI-augmented internal knowledge platforms.
Adoption tracking, renewal forecasting, and CSM workflows for AI/data clients.
Our team carries hands-on experience across the systems your firm already runs. Integration is rarely the bottleneck.
From short diagnostics to fractional leadership, every engagement model is designed around the client's stage and needs.
Operational diagnostics for AI consultancies and AI-native software firms.
Specific projects covering PSA, compliance, or knowledge platforms.
Ongoing operations support for growing AI firms.
Senior operations leadership for AI firms scaling past 20 people.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
Every engagement leverages reusable assets, frameworks, blueprints, and diagnostics built up over hundreds of client projects.
Our two-week assessment that maps where AI will and will not create value in your organization, plus a sequenced roadmap with measurable outcomes.
A battle-tested pattern for retrieval-augmented generation in enterprise, covering ingestion, chunking, embedding, retrieval, and evaluation.
A framework for AI inventory, risk classification, approval workflows, and ongoing monitoring that scales beyond a single steering committee.
Our approach to designing AI agents that handle real work, tool use, error handling, escalation paths, and human-in-the-loop workflows.
Practitioner-level analysis from the consultants delivering the work.

Most teams treat Gong as expensive call storage. The return is in coaching, deal execution, and forecast accuracy. Here is how to move from recording to results.
Read the full post →Implementation, configuration, and managed services across the full Salesforce platform, from Sales and Service Cloud to Agentforce and Data Cloud.
Learn more →As one of Gong’s earliest services partners, we implement, integrate, and optimize Gong so revenue teams actually adopt it.
Learn more →Strategy and production AI, from use-case selection and governance to deployed agents on the platforms you already run.
Learn more →The systems, data, and rituals that make sales, marketing, and customer success operate as one revenue engine.
Learn more →Free 30-minute strategy session with one of our consultants who knows your industry.
Book a Consultation →