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 technology and process challenges that come up in nearly every engagement we run in this industry.
Growth plateaus a few quarters after close. Leadership cannot tell whether the constraint is people, process, pipeline, or systems — and decks keep showing the same hockey stick that does not arrive.
CROs cannot see what is real in the pipeline, when it will close, or why deals are won and lost. That blocks data-backed value creation and surfaces ugly surprises in board reporting.
Sales, marketing, IT, product, finance, and CS operate in silos. Scalability suffers — and the operating model that delivered the LOI does not survive contact with the post-close org chart.
Poorly integrated and architected systems across multiple portcos create data debt, slow integrations during roll-ups, and prevent fund-level reporting. Every new acquisition introduces another snowflake.
Vertical SaaS roll-ups inherit three or four CRMs, two ERPs, and a half-dozen marketing automation platforms. Without a source-of-truth strategy, board reporting becomes spreadsheet archaeology.
Low visibility, weak reporting, and inconsistent execution stall exit timelines. Diligence drags on, valuation suffers, and the sponsor either accepts a lower multiple or extends the hold.
A team of operators, strategists, and architects that embed directly into portcos to build scalable revenue infrastructure. Pipeline visibility, forecasting, attribution, and CRM standardization done by people who have done it before — not consultants handing over strategy decks.
Specialized GTM teams focused on full-funnel demand, sales, retention, and expansion velocity. We install proven plays to modernize revenue motions and unlock measurable commercial impact in the first 90 days of deployment.
Repeatable Salesforce and HubSpot rollout patterns that scale across multiple assets, with standardized dashboards, RevTech frameworks, and playbooks that compound value over the hold period.
Implement and integrate the conversation intelligence, lead routing, and pipeline visibility tools that drive forecasting accuracy and win rates. See our dedicated Gong and Chili Piper practices for detail.
Standardized KPIs, live forecasting dashboards, and CRM data built for board reporting and exit diligence. Connect HubSpot, Salesforce, Gong, and Clay across assets for unified portfolio visibility.
Post-close operating-model work that actually gets implemented. Pipeline rebuilds, CRM consolidations, segment redefinitions, and territory restructures shipped inside the hold-period clock.
Compliance is not a separate workstream — it is embedded in every workflow we deliver. The major frameworks we work within:
CRM and revenue infrastructure built with the audit trails and access controls that mature buyers and SOC 2 auditors expect.
Revenue recognition, ARR calculation, churn definition, and pipeline reporting that survives QoE scrutiny in a sale process.
GDPR, CCPA, and customer data residency considerations baked into CRM and marketing automation rollouts from day one.
Repeatable patterns for integrating acquired companies CRM, marketing, and customer data into the platform portco — without breaking compliance commitments.
Each category represents a deep specialization with dedicated playbooks, accelerators, and experienced practitioners.
Embed a team of seasoned operators into a portco to build scalable revenue infrastructure across strategy, process, organization, reporting, and technology.
Full-funnel demand, sales, retention, and expansion velocity work — installed by GTM engineers, not advised by consultants.
Standardized CRM rollouts across multiple portcos, with repeatable patterns for data architecture, pipeline modeling, and integration.
Implement, integrate, and operationalize Gong, Chili Piper, Clay, DealHub, Demandbase, Crossbeam, and the rest of the modern revenue tech stack.
KPI standardization, historical data reconstruction, board-ready dashboards, and the reporting layer that strategic and financial buyers expect in diligence.
Connected dashboards and KPI frameworks that give value creation teams unified visibility across the portfolio.
A few examples of how these capabilities show up in practice — drawn from recent and active engagements (client names anonymized where appropriate).
Embedded a four-person RevOps team into a recent PE acquisition. Rebuilt the pipeline data model, standardized segment definitions, deployed Gong + Chili Piper, and shipped a board-ready forecasting dashboard in 90 days. Pipeline visibility improved 42%; forecast variance dropped from ±28% to ±9%.
Consolidated four legacy CRMs from acquired companies into a single Salesforce instance with unified account hierarchies, deduplicated contacts, and a clean revenue model. Completed in 11 weeks with zero downtime to sales operations.
Built the data infrastructure and reporting layer needed for a strategic sale process. Standardized KPIs, historical pipeline reconstruction, cohort retention analysis, and a buyer-ready data room. The asset went to LOI 6 weeks faster than the prior comparable process.
Deployed standardized RevOps frameworks, dashboards, and playbooks across five portfolio companies in the same fund. Sponsor now has fund-level visibility into pipeline coverage, forecast accuracy, and rep productivity — without each portco running a custom build.
Built a Claude-powered agent that pre-summarizes every deal in the pipeline for weekly sales leadership review — flagging deals with adoption risk, missing close criteria, or stalled commercial conversations. Saved the CRO 6 hours per week of manual pipeline scrub and improved win-rate predictability.
From short diagnostics to fractional leadership, every engagement model is designed around the client's stage and needs.
Post-close embedded engagement to install pipeline visibility, forecasting infrastructure, and CRM standardization in the first 100 days of ownership.
A team of operators, architects, and engineers embedded into the portco for the duration of the value-creation roadmap — typically 6-18 months.
Standardized RevOps and revenue tech rollouts across multiple assets in the same fund, with compounding leverage as the playbook matures.
Pre-sale data infrastructure and reporting projects sized to the diligence timeline. Typically 8-16 weeks.
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 →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 one of our consultants who knows your industry.
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