Resources & evaluation

GENELLIPSE FOR ENTERPRISE

CIOs, CDOs & technology teams

Assess architecture, integration, data readiness, and operational fit.

THE DECISION BEHIND THE TECHNOLOGY

Can the architecture be operated, changed, and recovered by your organization?

A technical evaluation must get beyond a feature demonstration. Understand the integration boundary, workload, control surface, and operating burden. A solution that performs well in isolation can still fail when sources change, queues back up, or access rights differ across teams.

Explore the decision and evidence flow

Select a stage to inspect its owner, evidence, and stopping condition.

CONTROLLED PROGRESSION

Map the estate

Locate systems of record, interfaces, data classifications, and constraints. Identify which capabilities are retained, wrapped, or replaced.

Accountable owner
Enterprise architect
Evidence to retain
Current-state map · decision log
Stop or escalate when
Do not build against an undocumented assumption about source ownership or interface behavior.
ILLUSTRATIVE BUSINESS CONTEXT

Illustrative evaluation: a legacy batch supplies data to an AI-enabled reporting workflow. Test a late file, a schema change, and a repeated job before declaring the interface complete. The handover must explain who notices each failure and how the service recovers without duplicating output.

Your discussion checklist

Use these prompts with your team. Checked items are a local working aid, not a readiness certification; they reset when you leave this guide.

0 / 4prompts reviewed

Plan the evaluation around your decision

Use this guide to align the right stakeholders before a demonstration or MVP.

Your decision

Can the proposed solution fit the technology estate, data model, and operating responsibilities?

Where Genellipse helps

Use GeneData for the data foundation, Cortex AI for governed agent workflows, and the relevant domain product for business context. Assess existing interfaces and approved environments.

What to evaluate

Identity, data lineage, permitted model services, network boundaries, workload volumes, observability, recovery, and change management.

Evidence to request

A solution blueprint, interface contracts, test results, deployment assumptions, responsibility matrix, and operational runbook.

A useful first engagement

Connect one representative source to one reviewed output, with a measurable quality check and a documented failure path.

Four technical questions worth answering early

Each question should produce an artifact that engineering and operations can review. Product names alone do not answer architecture questions.

Where is the state?

Identify authoritative records, caches, indexes, intermediate outputs, and audit events. Explain retention, consistency, and which copy wins when values disagree.

Who can invoke an action?

Trace identity from user to agent to tool to backend. Separate discovery of a tool from authorization to use it. Confirm credential scope and the handling of privileged or unattended work.

What changes independently?

List APIs, models, prompts, schemas, dependencies, and vendor services that can change. Define compatibility tests, version pinning where appropriate, and rollback expectations.

What does the operator see?

Require correlation across inputs, decisions, external calls, and final status. Measure stuck work and partial success rather than relying solely on infrastructure availability.

Use a technical scorecard with blocking conditions

A weighted average can conceal a critical defect. Score fit and effort, but keep mandatory security, data integrity, and recoverability gates separate.

Fit

Document supported interfaces and configurations, required customization, constraints, and any gaps. Confirm commitments in the proposed scope.

Effort

Include customer engineering, data remediation, testing, identity integration, procurement, and operating readiness in the estimate.

Evidence

Attach a reproducible test or reviewed design to each material conclusion. Unverified capabilities remain open questions rather than receiving a favorable score.

Move from understanding to evaluation.