Production AI · Oracle Partner
Make the Shift to Inference.
InferShift helps enterprises move from AI ambition to governed, production-ready inference on OCI.
Inference, fine-tuning and Voqu run inside your OCI tenancy. No shared endpoints, no third-party data exposure.
Pilot purgatory
Most enterprise AI gets stuck between pilot and production.
Pilots stall. Models hit governance walls. Buyers can't audit what's running on their data. The gap is not the model. It is the engineering, governance and delivery discipline around it.
Illustrative funnel of where enterprise AI initiatives fall away. Our work is at the bottom of the funnel.
The approach
Four service pillars across the five Shift stages.
Strategy, design, delivery and operate, engaged where they actually move work into production.
AI Strategy & Readiness
From AI ambition to a concrete, defensible plan: use cases, success metrics, risk posture.
Solution Design & Architecture
Reference architectures on OCI with governance, integration and audit baked in from day one.
Implementation & Deployment
Controlled pilots with pre-agreed exit criteria, then phased production roll-out.
Adoption, Optimisation & Operate
Move from pilot to full production, then adoption, optimisation, and continuous measurement.
The Shift Framework
Five disciplined stages. One path to production.
Stage labels and exit criteria are public. Every engagement is auditable from Discover through Drive.
Discover
Map goals, pain points, data realities, constraints, and candidate AI opportunities.
Artefact: AI Readiness Memo
Define
Prioritise use cases, quantified success criteria, risk constraints, and engagement scope.
Artefact: Use Case Brief
Design
Reference architecture on OCI, governance and audit posture, integration plan, pilot exit criteria.
Artefact: Reference Architecture
Deliver
Controlled pilot in production setting with pre-agreed exit gates, then phased roll-out.
Artefact: Pilot Scorecard
Pilot exit criteria — go / no-go before any production roll-out.
Drive
Production roll-out, adoption tracking, continuous evaluation, outcome measurement against KPIs.
Artefact: Adoption Dashboard
Voqu — private voice AI, deployed in your tenancy.
Voqu is part of how InferShift delivers, not a separate product company. It runs inside your OCI tenancy with your governance, your data, and your retention rules. Try the live demo before you book a meeting.
Where it lands
Built for sectors where AI has to clear governance first.
Risk framing first, deployment outcome second. We do not lead with the model.
Finance
Risk
Regulated workloads, audit, model governance, customer data residency.
Outcome
Private OCI deployment, governed inference, traceability for every prompt and output.
Healthcare
Risk
PHI, clinical safety, HIPAA-equivalent constraints, no third-party data exposure.
Outcome
Private inference, audit trails, secure clinical voice intake and scribing with Voqu.
Legal
Risk
Privilege, confidentiality, jurisdictional retention, matter-level access control.
Outcome
Sealed tenancy, retention controls, intake and matter-routing automation with Voqu.
Next step
Plan your production AI path.
Book a 30-minute AI Readiness Call. Free. No slides. No pitch deck. You leave with a written readiness summary.