Verotta builds, integrates and manages AI systems that improve how growing businesses sell, serve customers and operate. We take responsibility from workflow design through deployment, monitoring and continuous improvement — one partner accountable for the result.
Production systems in the areas where AI is doing real work today — data, documents, customers, marketing and operations.
Your inbox, CRM, accounting, documents, scheduling and reporting — connected into workflows that run with minimal intervention. The copy-paste between systems disappears.
Emails, contracts, reports, customer feedback and internal knowledge turned into searchable answers, summaries, alerts and management reporting — with sources shown, so every answer can be checked.
Lead qualification, rapid follow-up, customer-service agents, proposal generation and CRM upkeep. The revenue work that stalls when everyone is busy, handled on time, every time.
Not just content generation — the complete operating workflow: research, production, brand checks, approvals, publishing and performance analysis, running as one system.
Every system we deploy stays monitored, corrected and improved. Security controls, human approval points, performance reviews and ongoing support — deployed, monitored and continuously improved, with one partner accountable for the result. This is what separates a working business system from an abandoned experiment.
We don't open with an audit and a slide deck. We open by shipping something.
Together we pick a single workflow that costs you real hours — quoting, follow-up, reporting, document handling. Verotta designs it, builds it, and puts it into production with your team using it.
If it earns its keep, we scale from there. If it doesn't, you've spent a fraction of a typical consulting engagement and you keep a working system either way.
A working session to choose the highest-value workflow and define what success measures.
Designed and built against a written spec you approve before work begins.
Live in your business, with your team trained and approval points in place.
Monitored and improved under managed operations — or handed over fully documented. Your call.
Real systems, with status listed honestly — some in production for clients, some working builds that prove the pattern.
A marketing department that fits in one person. Built for an IT recruitment firm: one operator monitors sources, curates news, drafts for multiple channels, checks tone against brand, routes approvals, schedules and tracks results. The system writes its own weekly performance review.
It runs unattended each morning — scanning the news and leaving drafts waiting. It proposes; the operator decides. That approval structure is a Verotta signature.
Node.js · Electron · OpenAI Realtime API · voice control · unit tests, schema migrations, scheduled backups
Runs every morning without supervision: reads inbox and calendar, writes a briefing, maintains persistent memory of open items, and escalates follow-ups that have gone quiet. The administrative layer that otherwise eats the first hour of every day.
Scheduled tasks · persistent memory · mail and calendar connectors
Bilingual document intelligence over an institutional archive. Ask in English or French where an organization stands on an issue; it answers from the organization's own documents, cites its sources, and grades its own confidence. Ask something outside the archive and it says it doesn't know — built to fail well, because trust is the product.
Document extraction · retrieval with source citation · confidence grading · EN/FR
Automated competitive price intelligence: scrapes weekly pricing from four retail chains, normalizes to unit price, learns purchasing patterns and produces a weekly digest of what matters. The same pattern applies to any business tracking supplier or competitor pricing.
Python · SQLite · Playwright · FastAPI · scheduled scraping
The organizations getting real value from AI redesign the workflow around it. Adding a chatbot to a broken process automates the brokenness.
We sit with how the job is actually done — not the org-chart version. The bottleneck is rarely where people assume.
A written spec in plain language: what's automated, where humans approve, what it costs, how success is measured. You sign off before a line of code exists.
One process, proven end to end in production, before the next begins. Momentum built on working software.
Deployed, monitored and continuously improved under managed operations — one partner accountable for the result.
Security and privacy are the top reason businesses hesitate on AI — rightly. So we don't treat controls as an add-on. They're in the design from the first spec.
Systems propose; your people decide. Nothing customer-facing ships without a defined approval structure.
Data handling is documented in the spec — what's processed, where it goes, what's retained, and what never leaves your systems.
Document-intelligence systems cite their sources and grade their confidence — and say "I don't know" rather than invent.
Every system is documented well enough to be audited, maintained, or taken fully in-house if you choose.
Most AI projects stall because no one truly owns them. Verotta is built the opposite way: a written spec you approve before work starts, one workflow proven in production before the next begins, and a named person answerable for whether it actually works.
That discipline comes from a career spent delivering complicated technology on fixed deadlines — running an IT practice, building an industrial IoT platform, and producing feature-film visual effects with crews of hundreds. The lesson from all of it is the same: the technology is rarely the hard part. Understanding how work really flows through a business, and being honest about what survives contact with a real deadline, is.
A 30-minute implementation call, no charge. We'll tell you plainly whether it's worth automating, what a pilot would look like, and what it would cost — including when the honest answer is "don't."