Production AI for everyday business workflows

Software isn't built for humans anymore.

The repetitive work your team does every day — automated

We build smart automation for daily checks, follow-ups, summaries, and handoffs — the work that still lives in spreadsheets, inboxes, and scattered tools. Human approval and full audit trails built in. Regulated ops is our deepest background; we assess fit honestly for any industry.

FreeNo obligationReply within 1 business day

Led by Luis M. Rojas, founder & principal engineer

What your team gets every morning

morning-digest.run
RUN 4821 · 06:00 ET
06:00:02Reconciliation sweep142 passed
06:00:09Duplicate detectionclean
06:00:21Vendor feed · ACMEin sync

Payout batch #4821 — awaiting your approval

Nothing is released until a person signs off.

142 passed3 flagged1 heldfull audit trail

Interactive — approve or hold the flagged batch

Production daily

Running in live environments

Hours → digest

Typical morning workflow outcome

Parallel runs

Multiple workstreams per execution

One production platform running daily checks across high-volume workflows — with human approval before anything important changes.

The problem

Teams don't need another AI demo

They need software that runs every day — with people still in control when it matters.

FLAGGED TODAY
Backlogs that never shrink

Your team spends hours on the same checks and follow-ups while patterns repeat across spreadsheets and tools.

FLAGGED TODAY
Manual work that should run itself

Cross-system checks, comparisons, and daily reporting still depend on copy-paste and human memory.

FLAGGED TODAY
AI demos that never go live

Experiments look impressive in a meeting but never become software your team actually uses every day.

Where this is going

We don't design software for people to operate anymore. We design it for agent teams to run — with your people in command.

The fastest-growing work isn't a person clicking through screens — it's AI agents running the steps end to end. So we build the system for the agent to operate and for your team to stay in command: approving what matters, with a full audit trail. More throughput, the same accountability.

who the system is built forthe shift
a person clicking through every step
agent teams running the work end to end
people setting the rules, approving, and auditing

Services

Smart automation for everyday work

Four ways to engage — from custom AI to fully managed production systems.

Not sure where to start? Most teams begin with Ops Automation or request an assessment.

AI Agent Development

Your SOPs, not generic chatbots

Agents follow your team's procedures with approval gates before anything important changes — built for production review, not demos.

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Ops Automation

Morning digests instead of manual sweeps

Automated checks, issue flagging, and summary reports — whether your data lives in one system or across many tools and vendors.

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System Integrations

Secure bridges to your existing stack

Connect automation to your software, databases, and partner systems — credentials stay in your environment, with integrations your team can maintain.

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Managed Automation

Monitoring and iteration after launch

Production alerts, feedback loops, and ongoing improvements so accuracy keeps pace as your workflows and business rules change.

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Featured work

Production systems, not prototypes

Real systems shipped in production — not slide-deck prototypes.

Regulated industry
One morning report replaced hours of manual checks across high-volume workflows

For: teams buried in daily issue lists and manual follow-ups

An ops team replaced hours of manual daily checks with smart automation — one summary report each morning, with a full record of what ran.

One summary instead of many

Morning reporting

Multiple workstreams at once

Issue handling

Consistent and documented

Outcomes

Running in production daily

Status

AI workflow platformSystem integrationsDaily reporting dashboardSecure data layer
Read case study
company-brain.ask
trained on your SOPs

▸ Ask anything about how your company works. Every answer points back to the document it came from.

Try a question

An Ask-Me-Anything agent trained on your SOPs. Every answer cites its source — and when something isn't in your docs, it escalates instead of guessing.

See how it's built

How we work

Assess → Design → Build → Operate

Fixed-scope pilots first. No surprise scope creep.

01
Assess

Scope one workflow, map data sources, and give an honest fit/no-fit answer.

02
Design

Architecture your team can review — who approves what, what gets logged, and how it connects to your systems.

03
Build

Ship automation, integrations, and built-in checks to production — not a demo.

04
Operate

Monitoring, feedback loops, and iteration so the system improves as ops evolve.

Who's behind it

Boutique studio, founder-led delivery

Stoneverge Automation is a focused automation practice. You work directly with the engineer who designs and ships your systems — not a handoff team.

Luis M. Rojas

Founder & Principal Engineer

Two years building production AI automation in demanding regulated environments — where reliability and oversight are non-negotiable. The same approach applies to everyday workflows in any industry.

Academic research

Invited by EAFIT University — one of Colombia's top universities — into PhD-level research on agentic logic: how autonomous agents plan, decide, and act. The same rigor goes into every system we ship.

  • Financial Engineering and Risk Management — Columbia University
  • Asset Management with Machine Learning — EDHEC Business School
  • Full background on About →

Governance

Built for teams that need oversight

Trust is structural — people approve important steps, everything is logged, and we're clear about what won't be automated.

  • People approve anything important before it happens
  • Full record of what ran, what changed, and who signed off
  • Secure setup — credentials stay in your environment, not client devices
  • No training on client data; subprocessors documented on request

FAQ

Frequently asked questions

Pricing logic, timeline, data handling, and honest fit/no-fit.

No. Regulated ops is where we have the deepest production experience — but the work is the same pattern everywhere: daily checks, follow-ups, summaries, and handoffs that teams still do manually. If your workflow has a clear process, measurable outcome, and a path to connect your tools, we can usually apply what we've built before. The free assessment includes an honest fit/no-fit answer — including when another approach is better.

Next step

Request a free assessment

No obligation — honest fit/no-fit. We reply within one business day.

Request free assessment

Free · No obligation · Reply within 1 business day