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Ixvara

Engagements

Ways to work with Ixvara

Compare consulting, engineering, and managed support. Each engagement has specific deliverables, responsibilities, and a decision it helps you make. We also take on custom software and operational modernization work outside private AI.

Illustration: a blueprint, a build block with a wrench, and a gauge connected by a flowing path.

Consulting

Private AI Opportunity Review

Review opportunities in one business area.

You receive

  • Workflow map and current-state baseline
  • Prioritized use cases, data boundaries, and readiness gaps
  • First pilot brief and success criteria

Scope: assessment and recommendation. Implementation is agreed separately.

Decision it supports: Choose a pilot, address a prerequisite, or improve the process without AI.

Private AI Architecture & Roadmap

Develop a plan across business priorities, systems, and controls.

You receive

  • Readiness findings across six dimensions
  • Business case and architecture direction
  • Model placement, permitted integrations, and deployment recommendations
  • Delivery roadmap, responsibilities, and decision gates

Scope: agreed systems, use cases, and evidence needed for the business case.

Decision it supports: Approve a delivery sequence and an investment case.

Private AI Advisory

Recurring reviews for an internal team developing its AI program.

You receive

  • Architecture and initiative reviews
  • Decision and risk register
  • Prioritized actions for the next review

Scope: an agreed advisory schedule and capacity. Engineering and incident response are separate.

Decision it supports: Make technical and investment decisions with the reasoning documented.

Engineering

Private AI Pilot

Test one use case before committing to production.

You receive

  • Working prototype using representative data
  • Evaluation results and cost profile
  • Data and action boundaries, local-model evaluation, and production recommendation

Scope: one use case and a working prototype. Production engineering and support are separate.

Decision it supports: Proceed, revise the design, or stop based on measured evidence.

Private AI Production Build

Build a system with agreed features and acceptance criteria.

You receive

  • Application or AI workflow and integrations
  • Evaluation, release, and deployment artifacts
  • Architecture, runbooks, and handover
  • Agreed operating ownership

Scope: documented features, integrations, changes, and acceptance criteria.

Decision it supports: Approve the release and move to the agreed support plan.

Private AI Project Recovery

Review an AI build or integration that has stalled.

You receive

  • Architecture, data, and dependency review
  • Prioritized findings and failure analysis
  • Remediation options, estimate, and go / no-go recommendation

Scope: an initial assessment. Repairs are agreed separately; feasibility depends on source access and maintainability.

Decision it supports: Choose repair, redesign, replacement, or closure.

Ongoing Engineering

Ongoing application, integration, or AI development.

You receive

  • Agreed engineering capacity and prioritized backlog
  • Release plans, acceptance criteria, and progress reviews
  • Documentation and handover for completed work

Scope: agreed capacity, roles, delivery schedule, and change process. Support coverage is specified separately.

Decision it supports: Deliver improvements through an agreed schedule.

Managed Hybrid AI

Production Readiness Review

Assess an existing system or one approaching launch.

You receive

  • Workflow inventory and architecture review
  • Quality, cost, data placement, access, and observability findings
  • Prerequisites and proposed support scope

Scope: a review of licensing, source access, data handling, monitoring, and maintainability.

Decision it supports: Address support gaps and agree whether to proceed with managed operations.

Managed Hybrid AI

Ongoing support for production systems.

You receive

  • Agreed monitoring and evaluation cadence
  • Support runbooks and escalation ownership
  • Controlled releases and change records
  • Quality, boundary exceptions, cost, and outcome reporting

Scope: stated support hours, response targets, included changes, usage charges, and improvement work.

Decision it supports: Run the service against agreed measures and plan improvements.

Commercial terms specify consulting deliverables, engineering stages, advisory capacity, onboarding, and recurring support. Staffing, duration, pricing, response targets, and product availability are confirmed for the engagement.

Discuss your project

Tell us what needs to improve, the systems involved, and your data requirements.