AI & automation that removes real work
We build AI into the parts of your business that cost the most time, such as document handling, support queues, reporting and approvals, and we measure the hours it gives back.
What's included
- Custom AI & LLM integrations
- Workflow & process automation
- Predictive analytics & insights
- Chatbots & intelligent assistants
Hours returned
Repetitive handling measured before and after, so the saving is a number rather than a claim.
Fewer errors
Deterministic checks around every model output, so mistakes surface before they reach a customer.
Controlled cost
Token and inference spend tracked per workflow, with cheaper models swapped in where quality allows.
How we deliver AI and automation
Most AI projects stall because they start from the technology instead of the workload. We start by finding the process that consumes the most hours or leaks the most revenue, then design the smallest intelligent system that fixes it.
That might be an LLM pipeline that reads incoming documents and posts them to your ERP, a classification model that routes support tickets to the right team, or an assistant that drafts replies your staff approve in one click. Each one ships with evaluation, guardrails, and a human in the loop where the stakes call for one.
We work with the models that fit the job: hosted frontier models where reasoning quality matters, smaller self-hosted ones where cost or data residency does. We instrument everything so you can see accuracy and spend, not just a demo.
Technologies we use
- OpenAI
- Anthropic Claude
- Python
- LangChain
- Vector databases
- AWS Bedrock
- Azure AI
- n8n
We pick tools for the problem, not for the CV. If something simpler does the job, we will say so.
Common reasons clients ask for AI and automation
Document-heavy operations
Invoices, claims, contracts and forms read, classified and reconciled automatically instead of re-keyed by hand.
Customer support at volume
An assistant that drafts and resolves routine queries, escalating the edge cases to your team with full context attached.
Reporting and forecasting
Predictive models over your own history for demand, churn and cash flow, surfaced in dashboards your managers already use.
Internal knowledge
A retrieval assistant grounded in your policies and documentation, so staff get answers with citations rather than guesses.
A clear path from idea to impact
A transparent, proven process that keeps you in the loop at every step.
Discover
We dig into your goals, users, and constraints to define the right problem before writing a line of code.
Design
Architecture, UX, and a clear delivery plan, so everyone knows what we're building and why.
Build
Agile, transparent engineering with continuous demos, quality gates, and no surprises.
Grow
We launch, measure, and iterate to improve the product as your business scales.
What clients ask about AI and automation
How long does an AI automation project take?
A focused first workflow typically goes live in six to ten weeks: two weeks to map the process and agree on success metrics, then iterative build and evaluation. Broader programmes run as a sequence of these, so value lands early rather than at the end.
Will our data be used to train someone else's model?
No. We use enterprise API tiers where the provider contractually excludes your data from training, or self-hosted models where the data never leaves your infrastructure. Which route we take is decided with you before any data moves.
What if the AI gets something wrong?
We design for that from the start. Outputs are validated against deterministic rules, confidence thresholds route uncertain cases to a person, and every decision is logged so it can be audited and corrected. Human approval stays in the loop wherever the cost of an error is high.
Do we need a data science team to run it afterwards?
No. We hand over monitoring dashboards, evaluation suites and documentation, and the systems are built to be operated by your existing engineering or operations staff. We can also stay on in a support capacity.
Often delivered alongside this
Teams that come to Vurtix for AI and automation usually need one of these too.