CUSTOM AI DEVELOPMENT
pubGenius designs, builds and runs custom AI — agents, LLM apps and predictive models — connected to the systems your team already uses, with people in control where it matters.
workflow / supplier-invoice-review example
Invoice arrives by email
PDF read, supplier and line items extracted
AI checks it against the contract
Prices, quantities and terms matched in the ERP
Mismatch routed to a person
Evidence attached, finance lead approves or queries
Ready for payment
Logged, auditable, monitored after launch
THE PROBLEM
Your team still checks invoices, chases documents, rekeys reports and assembles proposals by hand. The chatbot demo didn’t change that. We start from the work itself and build AI that fits into it.
Generic tools that don’t fit.
Off-the-shelf AI rarely knows your data, rules or systems.
Pilots without a business case.
No KPIs agreed upfront means no clear decision at the end.
Nobody owns it after launch.
Models drift, vendors change and quality quietly drops.
WHAT WE BUILD
Model building is only part of it. We cover readiness, data, integration, testing, deployment, governance and the ongoing work that keeps AI reliable.
Find and rank the use cases worth building, assess data readiness and set an ROI hypothesis and roadmap.
Agents that complete multi-step work across your systems, with human approval where it counts.
RAG knowledge assistants, enterprise search, copilots and chatbots, with fine-tuning and guardrails.
Forecasting, risk scoring, fraud and anomaly detection, lead scoring and recommendations.
OCR and intelligent document processing, object detection and visual quality inspection.
Classification, entity extraction, sentiment, speech-to-text and conversation analytics.
Pipelines and APIs that connect AI to your CRM, ERP, databases and legacy systems.
Deployment, monitoring, drift detection, retraining and handling model or vendor changes.
WHERE AI PAYS OFF FIRST
Every engagement starts with one recurring workflow, connects to your existing systems, and hands judgment calls to a person.
Checks supplier invoices against agreed terms and prepares them for payment or query.
Reads incoming files, confirms required documents and chases what is missing.
Drafts responses to incoming requests for the account lead to review.
Researches accounts across CRM and data tools, then drafts a brief and follow-up.
Answers customer and staff questions from your own docs, with sources.
Predicts demand, churn or risk from your historical data.
HOW WE WORK
A working pilot comes before the full build, so every step ends with a clear decision: proceed, adapt or stop.
Workshops to find where AI saves the most time or money.
We assess the data, systems and decision points involved.
Models, integrations, controls and human checkpoints defined.
A working slice tested against your KPIs, in weeks.
Full build connected to your systems and permissions.
QA, model evaluation, security review and human-oversight setup.
Monitoring, support with a named owner and regular reviews.
ACCOUNTABLE BY DESIGN
Security, privacy and responsible use are designed into the architecture from day one — not bolted on before launch.
Each system owns one measurable piece of work, inside your tools — not a chat window on the side.
You decide what runs automatically and what needs approval. Controls, not just prompts, define what it may do.
At a limit, the system prepares the decision with evidence and hands it to a named owner.
Encryption, access rules, bias evaluation and documented decision logic.
[CERTIFICATIONS, e.g. ISO 27001]
BUSINESS VALUE
Track: cost per transaction
Track: time-to-decision, accuracy
Track: hours reclaimed per week
Track: conversion, customer lifetime value
Track: incident rate, time to resolution
Track: kickoff to first measurable result
WAYS TO WORK TOGETHER
Pricing is scoped once we know the workflow and systems involved. Model and cloud usage are budgeted separately, so there are no surprises.
Use cases ranked, data assessed, business case written.
Best for: teams exploring where AI fits.
A working solution on real data, measured against your KPIs.
Best for: validating one idea before investing.
From design to production: models, integrations, UI and rollout.
Best for: new AI products and features.
Senior ML and AI engineers embedded with your team, from one expert to a full squad.
Best for: scaling in-house capability.
Monitoring, support, model updates and agreed improvements.
Best for: keeping AI in production reliable.
MODEL-AGNOSTIC BY CHOICE
Domain rules, regulation and data shape every AI system. We build with both in mind.
CLIENT RESULTS
Voice agents that automate business calls, built on Retell.ai with a knowledge base, onboarding from the company website and Google Business Profile, SMS follow-ups, appointment scheduling and post-call analysis.
Live alpha in 6 weeks · 2 paying clients within 2 weeks
Read the Summer case studySafety complianceSafety professionals upload their documents and references; AI models extract what is relevant, summarize it and draft each section of the procedure, with per-paragraph regeneration and subscriptions.
Procedures in just 5 minutes · MVP in 2 weeks
Read the Safety Builder case studyDentistryVoice agents on Retell AI answer inbound calls, collect patient details, guide emergencies and log every call in Close CRM, which sends the SMS follow-ups and reminders.
Built in 3 weeks · scaled from 2 to dozens of agents
Read the RankMyDentist case studyFrequently asked questions
In a free 45-minute session we look at one real process — how work arrives, who touches it, where it stalls — and you leave with a plan: