What you can hire Vaxera AI to do

The problem

Skilled people spend a large share of each day on work that does not need their judgement: searching for the right document, re-keying the same facts into several systems, preparing routine correspondence, chasing status updates.

What we deliver

• Agents scoped to a defined task or workflow step, with the tools and data access that task needs and nothing more.
• Clear boundaries: what the agent may do on its own, what it proposes for review, and where a person signs off.
• Retrieval that cites its sources, so staff can check an answer in seconds.
• Monitoring and logs that show what each agent did, for whom, and why.

Where it fits

• Answering staff questions from internal documents, policies and case files, with the source shown.
• Reading incoming enquiries, extracting the facts that matter and routing them to the right person.
• Preparing first drafts of routine letters, summaries and reports from the records you already hold.
• Keeping information consistent across systems that were never designed to talk to each other.

How an engagement begins

We begin with one workflow that is well understood and visibly costly. A short discovery defines the task, the boundaries and the measure of success; a working prototype follows within weeks, in your environment.

The problem

Most organisations already hold the information they need. It is simply spread across databases, shared drives, email and legacy systems, in formats that make it hard to search, compare or trust.

What we deliver

• Pipelines that connect databases, document stores, email and exports into one consistent, refreshed picture.
• Document processing: extraction, classification and indexing of contracts, correspondence, forms and scans.
• Semantic search and retrieval that understands meaning, not just keywords, and returns the source.
• Knowledge bases and graphs that show how records, people and topics relate.

Where it fits

• A searchable archive of years of correspondence and documents, with answers that cite the original file.
• A knowledge base for staff that stays current because it is built from live systems, not copied by hand.
• Operational dashboards that combine case, financial and workload data from separate systems.
• Preparing clean, well-described data so AI features can be trusted.

How an engagement begins

We start with an inventory of what you hold and where, then connect one or two sources that unlock the most value. Each connection is tested against real questions from your team before the next is added.

The problem

Sending client records, financial data or confidential documents to a public AI service is not acceptable for many organisations. Running everything locally has its own costs. The right answer depends on the data, the workload and the obligations involved.

What we deliver

• An assessment of cloud, local and hybrid deployment options against your privacy, security, performance, cost and maintenance needs.
• Private deployments on your own servers or a dedicated environment, with open-weight models where they fit.
• De-identification and gateway layers that control what reaches an external model, and show it on screen.
• Operations: updates, backups, monitoring and access control for the systems we deploy.

Where it fits

• A professional-services firm that must keep client matters inside its own environment.
• A knowledge system over confidential documents served entirely on-premises.
• A hybrid setup that uses private models for sensitive work and frontier models, through a gateway, for the rest.
• Reducing the running cost of an AI workload that has outgrown pay-per-call pricing.

How an engagement begins

A short assessment reviews your data, obligations and workloads and recommends a deployment approach with realistic costs. Where a private deployment is right, we build and hand it over with documentation.