Services

Start with one workflow and one defensible outcome.

Core Innovation works with teams that already have an AI use case and need focused engineering support to evaluate, de-risk, build, or operate it. Engagements stay bounded so the next decision is clear.

Flagship engagement

AI Workflow Production Readiness Sprint

Turn one uncertain AI workflow into an evidence-backed production plan.

Price
Starting at $3,000
Timing
7-10 business days
Discuss this engagement

Best for

  • A prototype that works in demos but fails unpredictably
  • A team that cannot measure whether model changes help
  • A workflow that needs traceability, validation, or human review

Inputs

  • One defined workflow
  • Representative examples, outputs, or test data
  • Relevant architecture and implementation context
  • One technical or product owner

What we do

  • Map stages, data boundaries, and failure modes
  • Establish representative evaluation cases
  • Review validation, observability, security, latency, and cost
  • Identify the smallest defensible production path

Deliverables

  • Current-state architecture and risk map
  • Evaluation baseline or evaluation design
  • Validation and failure-handling recommendations
  • Prioritized implementation plan and findings walkthrough

Not included

  • Full production implementation
  • Unlimited workflow coverage
  • Formal legal or regulatory certification
  • Guarantees about model accuracy

Engagement 02

Architecture Review

A focused review of one AI workflow or system with a concise written recommendation.

Price
$750 fixed
Timing
Up to 5 business days
Discuss this engagement

Best for

  • One workflow with a clear technical decision
  • A team that needs an experienced second opinion

Inputs

  • One architecture diagram or repository walkthrough
  • Known constraints and failure symptoms

What we do

  • Focused technical review
  • One 60-90 minute working session
  • Risk and trade-off analysis

Deliverables

  • Concise written assessment
  • Prioritized recommendations
  • 30-minute findings walkthrough if needed

Not included

  • Code implementation
  • Broad organizational AI strategy
  • Multi-system security or compliance audit
  • Production support

Engagement 03

Implementation Engagement

Build or repair a bounded AI workflow with clear acceptance criteria and production-oriented verification.

Price
Scoped after readiness work; starts at $7,500
Timing
Typically 2-6 weeks
Discuss this engagement

Best for

  • A defined workflow with agreed acceptance criteria
  • A team that needs hands-on implementation support

Inputs

  • A completed readiness sprint or equivalent specification
  • Identified data and system owners
  • Written sensitive-data and third-party boundaries

What we do

  • Implement the agreed production path
  • Build evaluation and regression coverage
  • Add failure handling, observability, and human review where needed

Deliverables

  • Working prototype or production implementation
  • Evaluation harness and regression cases
  • Documentation and team handoff

Not included

  • Open-ended product development
  • Unbounded integration work
  • Formal compliance attestation
  • Ongoing operations or SLA

Engagement 04

Technical Advisory

Ongoing technical guidance after an initial review or build.

Price
Starting at $1,500/month
Timing
Up to 6 scheduled hours per month
Discuss this engagement

Best for

  • A team that needs recurring technical guidance
  • Follow-through after a review or implementation

Inputs

  • A completed initial review or build
  • A named technical owner

What we do

  • Architecture and design review
  • Evaluation and reliability guidance
  • Implementation review
  • Model, vendor, and infrastructure trade-off support

Deliverables

  • Scheduled working sessions
  • Written decisions and follow-up guidance as needed

Not included

  • On-call availability
  • Guaranteed response SLA
  • Rollover hours
  • Primary ownership of production operations
  • Unlimited implementation

Compare

The right starting point depends on how much is already known.

EngagementUse it when
AI Workflow Production Readiness SprintA prototype that works in demos but fails unpredictably
Architecture ReviewOne workflow with a clear technical decision
Implementation EngagementA defined workflow with agreed acceptance criteria
Technical AdvisoryA team that needs recurring technical guidance

FAQ

Useful boundaries before we talk.

Do you work with healthcare or sensitive data?

Yes, when the engagement has clear data boundaries and the environment is appropriate for the information involved. Core Innovation does not provide legal or regulatory certification, and sensitive data should never be submitted through the public contact form.

Can you work inside an existing repository and cloud account?

Yes. Repository and environment access are scoped to the engagement, with the client retaining control of credentials, infrastructure, and production approvals.

Which models and vendors do you support?

The engagement starts with the outcome and operating constraints, not a preferred vendor. Existing model and cloud choices can be evaluated, and alternatives are recommended only when the trade-off is defensible.

Do you provide compliance certification?

No. Core Innovation can help design technical controls, document architecture decisions, and identify risks, but formal legal, security, or regulatory attestation remains with qualified specialists.

Who owns the code and deliverables?

Engagement-specific ownership and licensing are defined in the statement of work. The normal goal is a practical handoff that leaves the client able to operate and extend the result.

What happens after the readiness sprint?

You receive a prioritized production plan. Your team can implement it, Core Innovation can scope a bounded implementation, or the work can continue through technical advisory support.

Can an architecture review expand into implementation?

Yes, when the review produces enough clarity to define acceptance criteria and boundaries. More uncertain workflows may need the full readiness sprint first.

READINESS PATH OPEN · ONE WORKFLOW · CLEAR NEXT STEP

Have one AI workflow that needs to become dependable?

Request a fit call