Enterprise Agentic OS / Software & SaaS

AI Agents for Software & SaaS Companies Sprint to Ship, PLG to Enterprise

AI agents built for software companies — PLG and SLG motions, SaaS metrics (ARR, NRR, Rule of 40), and the full SDLC. The software module encodes the workflows, the metric definitions, and the review points your team already owns.

21 specialized software agents across engineering, revenue, product, and operations. Part of 26 industry modules (2 runtime-wired today) and 700+ AI agents.

The Growth Ceiling Every Software Company Hits

Engineering Velocity Plateaus at Scale

As a team grows, coordination overhead grows faster than headcount. More process, more handoffs, less shipping — and no single view of where the time actually goes.

The process tax compounds every quarter, and nobody owns the measurement.

GTM Motion Is Expensive and Fragmented

PLG and SLG motions compete for resources. Marketing generates leads that sales can't close. Product usage data doesn't reach revenue teams.

CAC payback stretches out while PLG and SLG work from separate systems of record.

SaaS Metrics Are Lagging Indicators

By the time you see churn in the numbers, it's too late. NRR, CAC payback, and Rule of 40 are backward-looking. You need predictive signals.

Churn signals surface after the renewal conversation has started. Expansion openings pass unnoticed.

Technical Debt Compounds Silently

Every quarter, a slice of engineering capacity goes to maintenance instead of roadmap. The backlog grows. New features slow down. Nobody can quantify the true cost.

Maintenance load is felt everywhere and measured nowhere.

How a Software Engagement Works

1

Discovery Workshop

A scoped deliverable

We map one high-value software workflow together — typically engineering velocity analysis, PLG funnel optimization, or SaaS metrics definition. You see the module's ontology applied to your own systems and your own vocabulary.

  • Workflow mapping for one software process
  • Agent configuration walked through against your stack
  • Written findings you keep, whatever you decide next
  • Go/no-go decision with full clarity
2

Growth Platform

Scoped per deliverable

Expand from one agent to a team. Add the CRO Agent for revenue work. Put the CTO Agent alongside engineering leadership. Each addition is scoped and reviewed on its own terms.

  • 2-5 active agents across 1-3 departments
  • Ongoing configuration and tuning
  • A review cadence you set
  • Every agent output signed off by a named human owner
3

Full Software Module

Scoped engagement

The whole software module, designed for your environment — every agent, the shared ontology underneath them, and the workflow coverage that spans engineering through the board pack.

  • Full software module — 21 agents
  • Shared ontology across engineering, revenue, and product
  • Workflow coverage from bug triage to board reporting
  • Human sign-off retained at every decision point

Meet Your Software Agents

Two of the 21 specialized software agents in the module

CTO Agent

The Technical Strategist

I help you... drive architecture decisions, engineering velocity, and build-vs-buy analysis across the entire SDLC.

  • Analyze engineering velocity and identify bottlenecks
  • Evaluate build-vs-buy decisions with TCO analysis
  • Monitor system reliability and SRE metrics
  • Plan technical debt paydown with business impact scoring

What stays with your team

Architecture and sequencing calls stay yours. The agent assembles the evidence, names the trade-offs, and shows its working.

CRO Agent

The Revenue Architect

I help you... optimize PLG funnels, sales pipeline, and expansion revenue with data-driven playbooks.

  • Monitor PLG conversion funnel and activation rates
  • Score and prioritize enterprise pipeline opportunities
  • Build expansion revenue playbooks for existing accounts
  • Track CAC payback, NRR, and Rule of 40 as the inputs change

What stays with your team

Forecast calls and pricing moves stay yours. The agent keeps the pipeline picture current and flags what changed since you last looked.

Also in the module: CPO Agent, CISO Agent, VP Engineering, VP Platform, VP Product, VP Customer Success, DevRel Lead, and the SaaS, Cloud, DevTools, and Enterprise domain experts.

What the Agents Do

Capability, area by area — and the method behind each one.

AreaWhat the agents do
Engineering VelocityBottleneck analysis across the sprint, review, and deploy stages, with delay attributed to a stage rather than to a person
PLG ConversionActivation funnel modeling and onboarding sequences keyed to what an account actually did in the product
Sales PipelineLead scoring and opportunity prioritization against the qualification criteria your team already agreed on
Net Revenue RetentionChurn and expansion signals assembled from product usage, support load, and contract dates in one view
Technical DebtCodebase analysis that ranks the backlog by business impact, so paydown competes with roadmap on the same terms
Cost EfficiencyOne routing model over PLG and SLG, so the same account is not worked twice by two motions

The module is designed to read from the systems you already run — GitHub, Jira, Salesforce — rather than replace them.

See What AI Agents Can Do For Your Software Company

Book a Discovery Workshop. We map one software workflow, show you the module applied to your own systems, and you keep the written findings either way. Fixed fee in the scoped proposal.

21 Software Agents26 industry modules (2 runtime-wired today)Enterprise Agentic OS