AI Solutions · Start Here
Start Low-Risk: AI Readiness Audit, Proof of Concept, Then Scale
Begin with a fixed-price audit that ranks the AI use cases in your business by estimated ROI. Prove the best one on your real data in a proof of concept. Scale only when the results justify it.
How It Works
Three stages, each with a clear outcome
Most AI projects stall because the buyer is asked to commit before seeing any value. This path reverses that.
Stage 1 · 1–2 weeks · Fixed price
AI Readiness Audit
We review your systems, data, documents and workflows, and identify where AI will pay off. You receive:
- A ranked list of AI use cases with estimated ROI
- Findings on system and data readiness
- A recommended first proof of concept, scoped
- Risk, governance and cost notes
Stage 2 · 3–6 weeks · Fixed price
Proof of Concept
One working use case, built on your real data, so you judge the result and not a demo. You receive:
- A working prototype on your data
- Quality evaluation against representative cases
- Cost and speed estimates for production
- A clear go / no-go recommendation
Stage 3 · Ongoing
Scale-Up Contract
Production rollout with the engineering, controls and support to keep it running. It includes:
- Integration with your existing systems
- Access controls, logging and cost limits
- User training and handover
- Monitoring, support and continuous improvement
Why this removes the risk
- Fixed price and defined scope for the audit and the proof of concept
- A decision point after every stage: you choose whether to continue
- Real data and real workflows, not generic demos
- An honest answer, including when AI, or a rebuild, is not the right move
- Role-based access and controlled data permissions built in from the start
Who it is for
- Law firms, legal publishers and legal data providers
- Warehousing and inventory operators
- Banks, NBFCs, insurers and fintechs
- Manufacturers and logistics operators
- Healthcare and pharma organizations
- Retail and e-commerce businesses
- Any organization with legacy systems, lots of data and limited in-house AI skills
What we need from you
- A business sponsor who can name the outcomes that matter
- A few hours with the people who run the workflows and own the systems
- Read-only access to, or sample extracts of, representative data and documents
FAQ
Frequently asked questions
Do we have to continue after the audit?
No. Each stage stands on its own, and you decide whether to proceed once you have seen the results.
What does the ranked list of use cases look like?
Each candidate use case is described with the workflow it improves, the data it needs, the expected benefit, the estimated effort and the risks, so you can compare them and decide what to do first.
What if AI is not the right answer?
We tell you. We prefer simple, deterministic logic where it is more reliable, and the audit will say so where that applies.
Can you work with our existing team and vendors?
Yes. Engagements can be end-to-end or collaborative, with Augurs providing selected engineering, data or AI skills alongside your team.
How is pricing set?
The audit and proof of concept are priced as fixed packages against a defined scope. Contact us for a quote based on your systems and the use case.
Book Your AI Readiness Audit
Tell us about your systems and data. We will confirm scope and timing for a fixed-price audit and show you where AI will pay off first.