Hyperautomation for mid-market operators

Hyperautomation That Pays for Itself in Year One

I help mid-market operators combine AI, RPA, and business process automation into working systems — not another tool nobody uses. Most engagements achieve 30% cost savings within the first year.

Book a Fit Call See the Method

The Company Behind the Advisory

Backed by Olyra

I'm not just an advisor with an opinion on automation — I'm Founder & CEO of Olyra, an AI strategy, governance & implementation company with offices in Miami and São Paulo, serving clients across North and South America. Olyra's engagements average a 23% operational efficiency gain within 120 days, backed by a live catalog of 81 pre-built AI agent modules across 14 business functions. When I advise on automation, I'm drawing on a real operating company that ships this work daily — not theory.

2offices (Miami & São Paulo)
23%avg. efficiency gain in 120 days
81pre-built AI agent modules

Your Process Is the Bottleneck, Not Your Team.

Most mid-market operators think they have a staffing problem. Usually it's a process problem: data locked in silos, invoices matched by hand, approvals routed by email, the same report rebuilt every month.

That's where I help: mapping the real operational drag, ranking what to automate first, and staying in the room until it's shipped — not handing you a slide deck and disappearing.

The goal is not a proof of concept. It is fewer manual handoffs, cleaner data, and automation that pays for itself inside the fiscal year.

This is built for operators who:

  • run $3M–$50M in revenue, in professional services, manufacturing, distribution, or retail
  • have data scattered across e-commerce, in-store, ERP, and CRM systems
  • are drowning in manual invoice processing, reconciliation, or reporting
  • need a fractional automation leader, not a full-time hire — yet

How I Help

Three practical paths, depending on how much clarity and hands-on execution support you need.

Automation & Process Assessment

A full operations audit, data-fragmentation review, and automation opportunity ranking across RPA, BPA, and AI — with a 6-month implementation roadmap.

Explore the assessment →

Fractional Chief Automation Officer

Ongoing part-time leadership: automation strategy, ERP/CRM oversight, vendor management, implementation oversight, and team coaching.

See fractional CAO support →

Workshops & Team Enablement

Half-day and full-day working sessions on hyperautomation fundamentals, process mapping, tool evaluation, and change management.

Plan a workshop →

The philosophy behind the advisory work

Data Is the Fuel. AI Is the Engine.

Automation only works when the underlying data is clean and connected. Most operational problems that look like staffing problems are actually process problems — and most process problems are actually data problems hiding in plain sight.

I don't start with the tool. I start with where the pain actually is: the invoice that takes three people to approve, the report that gets rebuilt by hand every month, the customer data that lives in four systems that don't talk to each other. Then I design automation — AI, RPA, and BPA together — that removes the repetitive work so your team can focus on higher-value decisions. Automation should make people more valuable, not replace them.

Ana Fernandes-Payne

Ana is Founder & CEO of Olyra — an AI strategy, governance & implementation company — and Managing Director of Abrisuite, with 25+ years in IT and operations leadership across healthcare systems, legal-tech, and mid-market SaaS. She runs discovery calls, proposal reviews, and client onboarding herself.

Talk Through Your Operations Read Ana's Story

Good Fit / Bad Fit

This saves everyone time. Useful automation work needs sponsorship, real operational pain, and a willingness to fix process before chasing shiny tools.

Likely a good fit if you:

  • have executive sponsorship and a real business reason to move
  • want a defensible roadmap before committing to vendors
  • have data scattered across systems and no single source of truth
  • care about ROI, adoption, and measurable results — not another dashboard

Probably not a fit if you:

  • just want a chatbot demo
  • expect automation to fix broken process without operational change
  • need a $500/month tool recommendation and nothing else
  • are trying to cut headcount before understanding the actual work

What the First 90 Days Usually Clarify

No theatre. We find the process gaps, the data fragmentation, and the first automation decisions worth making.

  • current process bottlenecks and data silos
  • 3–5 workflows with credible automation ROI
  • ERP/CRM integration and data-readiness gaps
  • RPA vs. BPA vs. AI build-vs-buy decisions
  • change management plan for team adoption
  • a practical 90-day implementation roadmap

Results That Compound

Illustrative outcomes from the automation patterns I implement — see the full Results page for details.

30%

Typical year-one cost savings from a full hyperautomation implementation.

< 3 months

Typical time to complete a bounded automation implementation, start to finish.

85%

Automatic transaction matching achieved in invoice-processing automation, cutting close time roughly in half.

If Automation Is Now on Your Desk, Let's Make It Useful.

The first call is a fit check. If I can help, I'll say where I'd start. If I can't, I'll point you somewhere better.

Book a 30-Minute Fit Call →