What it actually takes to ship a production AI agent in 2026
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post →The patterns that come up in nearly every customer success engagement.
Most CS health scores are built on instinct and outdated assumptions. Building a defensible, predictive health score is harder than the vendor pitch decks suggest.
When CSMs each manage 30-50 accounts manually, growth stalls. Better tooling and AI can expand portfolio capacity meaningfully without sacrificing relationship quality.
Most renewal forecasts are gut feel. Building a forecast finance trusts requires structured renewal stages, predictive churn signals, and disciplined CSM data hygiene.
Sales does not know what is happening with their accounts post-close. Product does not know what users are struggling with. CS is often the bottleneck rather than the connector.
Net revenue retention depends on expansion — and most companies cannot predict it because the signals are scattered.
Strong onboarding correlates with strong retention. Most onboarding programs are reactive and unmeasured.
Health scoring models that combine product usage, support interactions, NPS, contract data, and CSM-captured signals — calibrated against actual churn outcomes to validate predictive power.
Full implementation including playbook automation, CTAs, health scores, journey orchestration, and integration with your CRM and product analytics.
Multi-factor renewal forecasting models, structured renewal stage definitions, and CFO-grade reporting that holds up to scrutiny.
Pulling product analytics from Mixpanel, Amplitude, Pendo, or Heap into the CS platform so usage signals drive both health scoring and CSM action.
Expansion opportunity identification, account growth modeling, and integrated CSM-to-AE workflows for expansion deals.
Templated onboarding journeys with milestone tracking, time-to-value measurement, and retention correlation analytics.
Compliance and regulatory considerations are built into every workflow we deliver. The major frameworks we work within:
Customer data subject request workflows, data portability, and privacy preference management.
SLA monitoring, breach detection, and automated service credit calculation tied to contractual obligations.
Subscription change controls, ASC 606 revenue recognition workflows, and audit-ready change history.
Automatic renewal disclosures, notice timing requirements (varies by state), and opt-out workflows.
Multi-region data handling, cross-border transfer documentation, and residency-aware support routing.
Sector-specific customer obligations — BAA management, security questionnaire responses, audit evidence.
Each category represents a deep specialization with dedicated playbooks, accelerators, and experienced practitioners.
Gainsight, ChurnZero, Salesforce CS Cloud deployments with full integration.
Multi-factor health models calibrated against actual churn outcomes.
Structured forecasting infrastructure with CFO-grade reporting.
Structured onboarding journeys with milestone tracking and retention correlation.
Playbook automation, CTAs, journey orchestration, capacity expansion.
Mixpanel, Amplitude, Pendo integrated into CS workflows.
Our team carries hands-on experience across the systems that already run your customer success function. Integration is rarely the bottleneck.
Every engagement starts by defining how success will be measured. These are the metrics we typically baseline before we begin and improve over time.
A few examples of how these capabilities show up in practice — drawn from recent and active engagements.
Replaced gut-feel health scores with a multi-factor model combining product usage, support sentiment, and contract data — calibrated against historical churn. Identified at-risk accounts 60-90 days earlier; gross retention up 5 points.
Full Gainsight deployment with playbook automation, journey orchestration, and Salesforce integration. CSM portfolio capacity grew from 35 to 55 accounts per CSM without churn impact.
Built a structured renewal forecasting model with stage gates, risk flags, and forward-looking CSM commitments. Renewal forecast accuracy moved from 70% to 94% at start-of-quarter.
Deployed Salesforce CS Cloud with expansion opportunity identification, CSM-AE handoff workflows, and NRR forecasting. Expansion revenue contribution up 35%.
Replaced ad-hoc onboarding with a structured 90-day journey, milestone tracking, and time-to-value measurement. First-year retention up 7 points.
From short diagnostics to fractional leadership, every engagement model is built around your stage and needs.
Diagnostic of CS platform, health scoring, retention metrics, and CSM productivity.
CS platform deployment, health scoring rebuild, onboarding redesign.
Ongoing platform administration and CSM enablement.
Senior CS operations leadership.
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.
A blueprint for product usage signals, support signals, engagement signals, and financial signals that produces a health score you can act on.
Our framework for moving customers from contract signature to first measurable value as fast as possible, with milestones and accountability.
A pattern for renewal forecasting, risk identification, and intervention workflows that captures revenue otherwise lost.
A framework for systematically identifying, qualifying, and pursuing expansion opportunities inside the existing customer base.
Practitioner-level analysis from the consultants delivering the work.
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post →Predictable phases. Clear deliverables. No surprises.
One to two working sessions to map your current state, business goals, gaps, and constraints. We come out with a written scope document and recommendation.
Documented solution architecture, technical design, realistic timeline, and a transparent commercial proposal — reviewed with your team before any build.
Configuration, development, integrations, data migration, AI training, and QA — delivered in iterative sprints with weekly demos and adjustments.
Training, change management, hypercare support, and continuous improvement. We do not disappear after go-live. Most engagements continue into managed services.
Connect the systems that run your business — CRM, ERP, billing, data, AI, analytics — into one cohesive architecture.
Learn more →Custom applications, platform extensions, integrations, and engineered solutions built when off-the-shelf software won't fit.
Learn more →Strategic guidance from certified architects plus production AI deployments. System selection, roadmaps, audits, Agentforce, custom agents, and AI strategy — all under one practice.
Learn more →Align marketing, sales, and customer success into one revenue engine. Process, forecasting, attribution, and tech-stack optimization.
Learn more →Free 30-minute strategy session with a consultant who works with customer success leaders every week.
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