Closing the books in four days at a $180M vertical SaaS.
- −64% Close time
- 97.8% Reconciled accuracy
- 2 quarters Payback
Vertical SaaS · $180M ARR · 200-person finance org
Read the story →AI Agent Systems for Modern Operations
Deploy AI agents across your revenue & operations stack.
Custom agent systems that replace process chains end-to-end. No generalized software. No lengthy migrations. Live in your existing stack in 6–12 weeks.
Finance Agent live run
- Ingested 1,284 invoices from NetSuite
- Flagged 37 exceptions · routed by policy band
- Cleared 31 automatically · 6 to controller
- Reconciled bank · AR · AP · GL
- Month-end close complete — day 4
11d → 4d month-end close · 97.8% reconciled
Illustrative run of a deployed finance agent.
Proof, not promises
- −64% Month-end close time Finance · $180M SaaS
- −95% Deal-desk turnaround Sales · $85M SaaS
- −$11M Inventory carry removed Ops · $420M distributor
- <20 hrs Of your team’s time Per engagement
The Approach
We don't just automate tasks.
We deploy agent systems.
Task automation tools chip away at one step of a workflow at a time. We architect end-to-end agent systems that own entire process chains — triage, decisioning, orchestration, and execution — across the tools your team already uses.
The result: backlogs cleared, operational cycle times compressed 3–10×, and the same team carrying multiples more throughput end-to-end.
Why not just…
The alternatives solve a slice. Agent systems own the chain.
Most teams reach for one of three fixes when a process outgrows the people running it. Here is where each one stops.
| Task automation / RPA | Hiring more people | Generic AI consultants | AgentPrime | |
|---|---|---|---|---|
| Scope | One step at a time | Whatever people do manually | Decks, pilots, frameworks | End-to-end process chains |
| Your stack | Brittle point integrations | — | Recommends new tools | Runs in tools you already have |
| Customization | Rigid, pre-set rules | Tribal knowledge | Templates | Encodes your actual policies |
| Throughput | Fixed once configured | Scales with payroll | Advice, not capacity | Scales without headcount |
| Time to value | Months of config | Months to hire + ramp | Quarters | Live in 6–12 weeks |
| Built by | Software vendors | — | Career consultants | Operators who ran the work |
How It Works
A clear path from process audit to production agents.
Most engagements move from first conversation to live agents in 6–12 weeks. The system gets sharper from there.
- .01 2 weeks
Audit
A structured analysis of your operating model. We map where AI reduces overhead, accelerates execution, or replaces manual coordination — and quantify the upside.
- .02 4–8 weeks
Architect
We design and build the agent system end-to-end. Integration with your existing tools, data, and operational logic. Engineering, not configuration.
- .03 Week 4+
Deploy
Live deployment inside your stack. No migrations, no rip-and-replace — agents operate across the software and cloud infrastructure you already run. Deployment phases through the back half of Build.
- .04 Ongoing
Optimize
Post-deployment, agents continuously improve. Decision logic strengthens, reliability climbs, scope expands. Ongoing training and tuning extends the engagement as outcomes compound.
Why now
Only AI-native operations will survive the next cycle.
The companies that win the decade aren't the ones with the biggest teams. They're the ones that built operational leverage into the system itself.
.01
Reduce operational overhead
Agents handle the coordination, approvals, and exception triage that today consume your most expensive headcount.
.02
Accelerate execution
Processes that ran on human calendars now run continuously — closing in hours what used to close in weeks.
.03
Scale without hiring
Throughput rises with system capacity, not headcount. Your best people stay focused on the work that demands judgment.
In their words
What changes after deployment.
Verbatim from the operators who run these systems. Anonymized under NDA — the numbers are not.
“We took eleven million dollars of carry out without breaking service. Six months earlier I would have told you those two things couldn't happen at the same time.”
“We grew the sales org by forty percent and RevOps didn't blink. That was never going to happen the old way — we'd have hired three more people just to stay in place.”
“We didn't just close faster. We closed with more confidence. Our team stopped being a bottleneck and started being a forward-looking function — for the first time since I joined.”
Built for serious operators
Partnering with revenue and ops leaders inside the modern enterprise.
AgentPrime works inside finance, sales, operations, engineering, and marketing organizations — wherever process complexity has outpaced the people running it.
Operators, not consultants
We built it on our own business before we built it for yours.
AgentPrime is led by Craig Hewitt. Prior career in sales and operations at Fortune 500 companies. Founder of Castos, a bootstrapped B2B SaaS scaled to multi-seven-figure ARR — running the same sales, onboarding, and customer success chains our agent systems automate today.
The premise is simple: we've done this work end-to-end on a real operating business. Now we build the same systems, custom, for yours.
- .01
Multi-seven-figure SaaS operator
Founded and scaled Castos, a bootstrapped B2B SaaS, to multi-seven-figure ARR — running sales, onboarding, customer success, and account management end-to-end as the org grew from solo founder to a full revenue team.
- .02
Fortune 500 sales & operations
Prior career in sales leadership and operations roles inside Fortune 500 organizations. The same coordination, approval, and compliance chains we automate today were built and run inside those companies.
- .03
Building agent systems for enterprise
Now leading AgentPrime, building custom agent systems for revenue and operations teams. Every system delivered to a client has been pressure-tested on a real operating business first.
Where agents go to work
Operational chains the five agents own.
If a process has rules, signals, and stakeholders, it's a candidate. These are the highest-leverage starting points inside each agent — with dozens more in each area.
-
Finance
AP exception triage, AR collections, reconciliation, close orchestration, forecast variance, audit documentation
-
Sales
Deal desk approvals, CRM hygiene, pipeline reporting, commission validation, customer health scoring, expansion signals
-
Operations
Vendor onboarding, procurement approvals, exception cycle management, demand sensing, supplier scorecards, compliance and policy monitoring
-
Engineering
PR review, ticket triage, deployment monitoring, on-call rollups, new-hire onboarding
-
Marketing
Pre-launch signal QA, attribution integrity, audience overlap detection, campaign rollup, brand-safety review
…and dozens more chains inside every modern enterprise stack
Live Demos
Five agents, scrolled end-to-end.
Each demo walks through a real anchor workflow on dummy data — the kind of work the agent does dozens of times a day.
Integration
Built to work with the systems you already run.
Agents operate across your existing stack — CRM, ERP, data warehouse, ticketing, messaging — without forcing migrations or rebuilding your source of truth.
- Salesforce
- HubSpot
- NetSuite
- Snowflake
- Slack
- Notion
- Jira
- GitHub
- Workday
- Stripe
- Zendesk
- Looker
- Linear
- AWS
- Azure
Case Studies
Three deployments. Three stories.
Anonymized proof from real customers. What the team was dealing with, what we built, and what changed.
Deal desk turnaround in hours, not days, at a mid-market B2B SaaS.
- −95% Deal desk turnaround
- 96% CRM accuracy
- +18pp Forecast accuracy
B2B SaaS · $85M ARR · 120-person sales org · 4-person RevOps
Read the story →$11M of inventory carry out, fill rate up, at a $420M specialty distributor.
- −78% Exception cycle time
- −$11M Inventory carry
- +6 weeks Demand signal lead
Specialty distribution · $420M annual revenue · Cross-functional ops · 14 warehouses
Read the story →In a sentence
"Operations were built around human coordination. The next generation will run on intelligent execution."
— AgentPrime
FAQ
Common questions, direct answers.
-
.01 What happens on the discovery call?
A 30-minute working session. We map your top three operational chokepoints and quantify the upside of automating each. If there's clear fit, we propose an Audit. -
.02 How long until agents are in production?
6–12 weeks from first conversation to live agents, depending on integration complexity and scope. A 2-week Audit produces a sequenced roadmap; Build runs 4–8 weeks with deployment phased through the back half. Optimization and training continue from there. -
.03 What can the agents actually do?
Triage, decisioning, orchestration, and execution across enterprise tools. Examples: clearing an AP exception queue, running a deal desk, reviewing PRs, launching campaigns, sensing demand shifts. Anything with rules, signals, and stakeholders. -
.04 Do you replace our existing software?
No. Agents operate across the tools you already run — CRM, ERP, data warehouse, ticketing. We don't force migrations or rebuild your source of truth. -
.05 How much of our team's time does this take?
Typically under 20 hours from your team across the full engagement. Most of that is in the Audit phase — interviews, walkthroughs, sign-off on the roadmap. -
.06 What about security and governance?
Agents run inside your environment, against your auth, with policy and audit trail built in. SOC 2-aligned process, least-privilege access, and full action logs by default. -
.07 Can you customize for our process?
Every deployment is custom. We start from your operating model — not a template — and the agents we build encode your specific policies, thresholds, and escalation paths. -
.08 How does pricing work?
Fixed-fee Audit, then a fixed-fee Build that scales with scope. Most deployments come in at roughly 10% of the fully-loaded cost of the FTE capacity they replace — in the first year.
Discovery
Explore what AI agents could look like inside your company.
A brief working session to identify the operational chains with the most immediate impact. If there's fit, we propose an Audit. If not, you leave with a clearer map.
AgentPrime works with a small number of companies at a time. Every engagement gets direct senior involvement.
Request received.
We review every submission personally — expect a response within one business day.