Stoneverge
Production AI for everyday business workflows

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.

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Led by Luis M. Rojas, founder & principal engineer

DAILY WORKFLOWruns in parallelCentral coordinatorDaily checksComparingIssue reviewReportingYOUR TOOLSCRM, spreadsheets, APIsHuman review

Hover a step to trace the path to human review.

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.

01
Backlogs that never shrink

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

02
Manual work that should run itself

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

03
AI demos that never go live

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

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
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Production artifact

Redacted

Morning ops digest / redacted

Daily workflow summary

Run completed with full audit trail attached

12 OK

3 review

8 OK

1 review

5 OK

0 review

Human approval required before overrides

One morning digest replacing hours of manual checks, with a full run log.

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.

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

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
Read the security approach →

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.

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