Discover
Clarify the business problem, accountable owner, users, current workflow, data and systems, risk, and baseline performance.
Stage outputA shared problem frame, candidate use case, constraints, and decision owners.
ElightCloudHow we work
Our five-stage method keeps business value, technical delivery, quality, governance, and operating readiness connected—from the first discovery conversation through controlled expansion.
Discover to operate & scale
An engagement can begin at the stage that fits the current situation, but the required evidence and controls do not disappear.
Clarify the business problem, accountable owner, users, current workflow, data and systems, risk, and baseline performance.
Stage outputA shared problem frame, candidate use case, constraints, and decision owners.
Freeze the target task chain, delivery scope, evaluation method, human-review points, prohibited actions, and release threshold.
Stage outputA scoped solution and test plan with explicit acceptance and governance criteria.
Test the defined workflow with bounded users, representative data, limited systems, and observable quality and business measures.
Stage outputEvidence on adoption, quality, controls, cost, and business impact—plus known failure modes.
Prepare the proven workflow for real operation with identity, permissions, monitoring, backup, rollback, support, and production handoff.
Stage outputAn operable release with ownership, runbooks, controls, and recovery paths.
Monitor performance, drift, cost, human intervention, and outcomes; improve the workflow and expand only where evidence supports it.
Stage outputA review cadence, improvement backlog, and reusable assets for the next controlled expansion.
A useful first conversation
Discovery is designed to uncover what is known, what remains uncertain, and what evidence the organization needs before committing further.
What is slow, costly, inconsistent, risky, or constraining growth today?
Who is accountable, who performs the work, and who accepts the result?
How does the work happen now, and which measures describe current performance?
Which sources, interfaces, permissions, and quality constraints shape the solution?
Which actions require confirmation, escalation, refusal, audit, or recovery?
What evidence will support the next decision, and what business event creates urgency?
Three connected workstreams
Keep the use case tied to a real workflow, a named owner, a current baseline, user adoption, and an outcome the business can evaluate.
Translate the workflow into data, model, tool, evaluation, release, and operating practices that can be tested and maintained.
Make permissions, human decisions, responsibility, training, support, and escalation part of the operating design from the beginning.
Decision gates
Moving forward is a business and governance decision supported by delivery evidence—not an automatic next phase.
Is the task chain focused, feasible, measurable, and safe enough for a bounded pilot?
Do adoption, quality, governance, cost, and business evidence justify production hardening?
Are ownership, monitoring, support, recovery, and reusable assets strong enough for broader use?
Shared delivery
eLight can lead product configuration, engineering, integration, and delivery, but cannot replace the customer’s business accountability, approvals, or system ownership.
Provide the business owner, subject-matter experts, system and security contacts, representative data, decisions, and user acceptance.
Working ruleDecisions and evidence are documented where the responsible teams can review them.
Lead discovery, solution design, configuration or engineering, evaluation, integration support, documentation, and delivery coordination within the agreed scope.
Working ruleDecisions and evidence are documented where the responsible teams can review them.
Define success, prioritize trade-offs, review risk, validate results, manage change, and decide whether to stop, adjust, deploy, or scale.
Working ruleDecisions and evidence are documented where the responsible teams can review them.
Evidence before expansion
The review should make value, failure, operating cost, controls, and production readiness visible enough to support a deliberate next step.
Do intended users return to the workflow and adopt its recommendations or outputs?
Does it meet agreed task, safety, and failure-mode thresholds on representative examples?
Do permissions, review, escalation, audit, and recovery behave as designed?
Are infrastructure, model, human-review, and operating costs visible and acceptable for the value?
Is there defensible evidence of better workflow performance, capacity, risk control, or another agreed result?
Are production ownership, integration, monitoring, documentation, and support conditions in place?
Choose the right starting point
Vantage helps bring governed AI into an enterprise task chain. Consulting services address the data, model, quality, operations, and infrastructure needed behind it.
Start when you have a high-value task that crosses enterprise context, people, and systems.
Start when data, model engineering, quality, human operations, compliance support, or cloud infrastructure is the primary constraint.
Use consulting services to prepare the required foundation and Vantage to bring it into a governed task chain.
Tell us what the organization is trying to change, what systems and constraints are involved, and what evidence stakeholders need next.