Solutions
Tools built for the work we do — available to use directly.
The platforms and tools Volorai has built to deliver service engagements are available for customers to procure and operate. Your data, your environment, your control — Volorai installs and supports.
What's available
Four solutions. Each stands alone.
Solutions are procured individually — you buy the capability you need, not a platform bundle.
Some teams know this catalogue by its internal name — VAIone, our marketplace of productised tools. Same thing; different label.
Knowledge Assistant
A private, self-contained AI assistant for the documents you choose to share with it. SSO, citations, content safety, audit log. Your data stays in your environment.
Read more 02Agentic Software Development
Bring requirements. Leave with a programme. An AI-native development workspace that takes requirements from brief to branch — supervised, auditable, with human gates at every decision point.
Read more 03Custom AI Solutions
When a productised solution doesn't fit, we build to your specification. Generative AI applications, AI platforms, embedded product features, workflow automation, and more.
Read more 04Rause — Root Cause Analysis Agent
Private, code-aware root-cause analysis for live systems — deployed in your infrastructure. It reads your code and logs, drafts the root cause with evidence, and your engineer verifies the fix.
Read moreBeyond solutions
Looking for an engagement rather than a tool?
Volorai also delivers bespoke service engagements — audit, strategy, governance, vendor advisory, and programme recovery. Most clients find the right combination of services and solutions together.
Outcomes
Three productised tools, three measurable business outcomes.
Knowledge Assistant
What you walk away with
- A live, private Knowledge Assistant deployed in your environment, branded for your organisation.
- An admin console showing exactly what's indexed, who can see it, and what's been asked.
- A curated source set, sanitised of PII and out-of-scope material, with an evaluation harness that measures answer quality before and after every change.
- User onboarding collateral, role mapping to your SSO, and a written audit trail of every query and answer.
The business outcome you're buying
- Staff get accurate answers in seconds — not next-day responses, not Slack-thread guesses, not buried-policy stalemates.
- The shadow use of ChatGPT and Copilot on client or matter content stops being a risk — because the right answer is now available in a private channel.
- A defensible posture against the regulators, insurers and clients who are starting to ask, "What AI does your firm use, and how is it governed?"
- A measurable productivity dividend — typically the equivalent of redirecting 20–30% of one paralegal-grade role per assistant onto higher-value work.
ROI commitment
For a deployment priced below the loaded cost of one junior salary, the payback case is typically under six months on staff time recovered. The risk-reduction and compliance-evidence value sit on top.
Agentic Software Development
What you walk away with
- A production-deployed application in your repository, built against your requirements set, owned by you from the first commit.
- A complete development audit log — every architectural decision, every generated file, every human review tied to a specific person and time.
- A phased delivery plan, with milestones and pull-requests aligned to your sprint cadence.
- Deployment runbooks, monitoring dashboards and incident playbooks — the operational artefacts of a real production system, not a prototype handover.
The business outcome you're buying
- A working application in 4–8 weeks where a traditional engagement would take 4–6 months. Same engineering quality, same audit trail.
- Engineering capacity preserved: your internal team is freed to do the architecture, integration and product work only they can do.
- A defensible audit position for the board, the auditor and the regulator — every line of code traces back to a decision and a reviewer.
- A delivery model that scales — repeatable patterns across a portfolio of applications without scaling consultancy spend linearly.
ROI commitment
Time-to-MVP compresses from quarters to weeks. The cost differential against a traditional development engagement, at parity of quality and governance, is typically 40–60%.
Custom AI Solutions
What you walk away with
- A working MVP in 4–8 weeks, deployed against your data, in your environment, that your users can evaluate.
- A production-grade AI platform — identity, access, content safety, evaluation harness, deployment pipelines, monitoring — built to host many use cases, not one.
- Documentation that lets your team extend the platform without consultancy lock-in.
- Handover runbooks, monitoring dashboards, model lifecycle controls — the operational chassis of a real platform, not a prototype.
The business outcome you're buying
- Production AI capability live in your business in weeks, not the typical multi-quarter consulting timeline.
- A platform that supports the next AI use case in days, not a fresh project from scratch — so each new capability gets cheaper and faster, not more expensive.
- Internal team enablement, not consultancy lock-in — you own the platform, the code and the evolution path from day one.
- A self-hosted, sovereign deployment option that keeps the data inside your environment — relevant when client confidentiality, regulatory posture or sovereignty matters.
ROI commitment
The first use case carries the platform cost. Every use case after that is incremental — the cost curve flattens as adoption grows. Most clients see the platform pay back inside the second or third use case, not the first.
Not sure which solution fits?
A 30-minute call is free. Tell us the problem you're trying to solve — we'll tell you whether one of our solutions fits, or whether a bespoke engagement makes more sense.