ProVerv Consulting
Consulting

Operational clarity first. AI that compounds it.

We fix the operating system before we automate it — then layer Generative and Agentic AI on top, so the work goes away and the gains compound. Operators, not advisors.

The operating thesis

AI doesn't fix a broken operating system. It scales it — in both directions.

Most growth-stage pain isn't a tooling problem; it's an operating one. Four failures show up again and again — and automating on top of them just makes the mess faster.

Process

Work runs on memory and heroics, not repeatable systems.

Visibility

Leadership finds out what's broken after it's already late.

Accountability

Everyone's busy, yet no one owns the outcome.

Execution

Good decisions stall between the meeting and the doing.

The ProVerv Method

Five moves, in order. Process before automation, every time.

01

Assess

Map how work actually flows — and where it breaks.

02

Optimize

Fix the process before automating it. No paving cow paths.

03

Automate

Remove the repetitive work with Generative AI.

04

Agentify

Hand standing responsibilities to guarded agents.

05

Scale

Compound the gains across every function.

Pillar I · Generative AI

Remove the repetitive work, function by function.

Generative AI wired into how a function already works — not a chatbot bolted to the side.

Sales

Proposal & pipeline

Draft proposals, follow-ups, and CRM notes straight from a call.

Operations

Knowledge & SOPs

Turn tribal knowledge into SOPs your team actually uses.

Finance

Reporting & reconciliation

Assemble recurring reports and flag anomalies before the review.

HR

Internal & onboarding

Answer policy questions and generate onboarding paths on demand.

Customer Success

Response & retention

Draft on-brand replies and summarize account health at a glance.

Across the board

Documentation

Keep documentation current as the work happens, not months after.

Pillar II · Agentic AI

Hand standing responsibilities to agents — with the brakes on.

Where Generative AI drafts, Agentic AI owns a recurring job end to end. Each agent earns its autonomy behind guardrails.

Ops Manager Agent

Chases the status updates so your managers don't have to.

Customer Success Manager Agent

Watches every account and flags renewal risk early.

Knowledge Agent

Answers from your docs so the same question is asked once.

Decision Support Agent

Assembles the numbers so decisions don't wait on a spreadsheet.

Project Management Agent

Keeps plans, owners, and deadlines honest without the nagging.

Guardrails first

Every agent ships with scoped permissions, human-in-the-loop checkpoints, and a full audit trail. Autonomy is earned, not assumed.

How we engage

Every engagement starts with a diagnostic — never a tool purchase.

Start here

Operating Diagnostic

A structured look at how work flows, where it breaks, and what to fix before any automation. It's the front door to every other engagement — and it stands on its own.

Systems Sprint

Fixed-scope buildout of one high-friction workflow, end to end.

Fractional AI Operator

An operator embedded in your business, running the roadmap.

Function Automation

One function automated end to end, with your team in the loop.

Agent Deployment

Design, deploy, and guardrail one or more agents in production.

Advisory Retainer

Ongoing operator access and stewardship of the AI roadmap.

Why ProVerv

The difference is who stays accountable after the pitch.

Typical approachProVerv
Entry pointBuy a tool and hope adoption follows.An Operating Diagnostic — fix the process first.
Who does the workYou implement it after the pitch.We build and run it alongside your team.
AI approachOne-off automations, bolted on.Generative + agentic, sequenced to compound.
AccountabilityVendor ships, then leaves.An operator stays accountable to the outcome.
Change managementAn afterthought.Built into the engagement from day one.
We eat our own cooking

We run ProVerv on the systems we sell.

Every method and agent on this page runs our own operations first. Proof goes here as clients approve it for use — we publish real outcomes, not invented ones.

Case study — placeholder

A named client outcome will be published here once approved. Intentionally left blank — we don't manufacture proof.

Testimonial — placeholder

A real, attributable client quote will live here once approved for use.

Who you work with

Operator, not advisor.

ProVerv is led by Hemal Dua, a fractional COO who works inside growth-stage businesses rather than advising from the outside. The engagement is hands-on: the systems on this page are the ones we build, run, and stay accountable for.

Next step

Start with a diagnostic, not a tool.

One conversation to see how your operations really run — and where AI would actually compound.