Proof

Delivery scenarios and measurement

Explore possible approaches to AI, data and transformation work. The scenarios below explain proposed scope and useful measures. They are educational examples, not claims of completed client projects or verified financial returns.
Evidence by design

Define the starting point, then measure the change

Every engagement needs agreed definitions, a comparable baseline and a clear owner for validating results. A target, an estimate and an observed result serve different purposes.

Baseline

Document current performance and data limitations before a pilot starts.

Acceptance

Agree the scope, quality thresholds and evidence needed to accept the work.

Measured result

Review comparable periods, full operating costs and the owner's sign-off.

Product stories

Explore connected-health product design

Read the Afiyah product narratives, including the journeys, workflows and measurement approach described on each page. These are separate from the illustrative scenarios below.

Sinan Hospital building in Damascus
Sinan Hospital, Damascus
Afiyah and Project NABD

Care beginsbefore arrival.It continuesat home.

See how Afiyah connects the patient experience, reception, laboratory results, supplies and leadership insight around one hospital journey.

Patient experience
Journey control
Laboratory connection
Performance intelligence
Read the story

Afiyah Health · A STRIV project

AfiyahHEALTH

A clearer picture.
A more confident you.

Records, everyday wellbeing and family care—connected with Sanad personal intelligence and Pulse Analytics.

SanadConnected carePulse Analytics
Explore the project
A family preparing a meal together in their kitchen.
Personal intelligence. Responsible AI.One connected experience.
Your choices stay yours.
Delivery approaches

Illustrative business scenarios

These scenarios describe possible approaches to common business problems. They do not represent named or anonymized clients, completed STRIV projects or promised outcomes. Measures and acceptance criteria must be agreed for each engagement.
Showing 6 illustrative scenarios
Customer operations
Illustrative scenario
Customer service triage and response assistance
A service team could use an agent to find approved answers, classify requests and prepare the next action. Exceptions and consequential decisions remain with an authorized person.
Pain points
  • Repeated questions require manual lookup
  • Requests reach the wrong queue
  • Answer quality varies across languages and channels
Candidate scope
  • One bounded enquiry type and an approved knowledge source
  • Read-only system access followed by a human-approved action
  • Quality checks, escalation rules and operational logs
Measures to establish
Resolution quality
Reviewed cases meeting the agreed answer and action criteria
Human effort
Handling, review and rework time per eligible enquiry
Repeat contact
Customers returning about the same issue in an agreed window
Decision gate
Expand only after the agreed quality, cost and escalation criteria are met.
Finance and operations
Illustrative scenario
Planning and reporting from governed data
An organization using disconnected files could establish shared KPI definitions and a controlled reporting workflow before introducing dashboards or forecasting models.
Pain points
  • Different versions of the same measure
  • Manual consolidation and repeated corrections
  • Unclear ownership of source data
Candidate scope
  • Source inventory and named owners for priority measures
  • Data validation and reconciliation rules
  • A focused dashboard with documented refresh and support procedures
Measures to establish
Data agreement
Reconciled records and totals against the named source
Reporting effort
Time to prepare and review the agreed reporting pack
Freshness
Elapsed time between source updates and usable reporting
Decision gate
Accept the dashboard against reconciled data and a documented operating owner.
Retail and service businesses
Illustrative scenario
CRM modernization around one customer journey
A business could modernize an enquiry-to-order or service journey by simplifying existing customization, clarifying record ownership and making integrations observable.
Pain points
  • Duplicate customer records
  • Fragile connections between CRM and operational systems
  • Releases depend on undocumented custom behavior
Candidate scope
  • Journey map and a dependency inventory
  • Integration contracts, failure handling and access review
  • A staged release with reconciliation and rollback criteria
Measures to establish
Journey completion
Eligible requests reaching the intended business outcome
Integration quality
Correctly processed messages, retries and unresolved failures
Support effort
Incidents and manual recovery work after each release
Decision gate
Proceed when the operational team can verify and support the complete journey.
Cross-functional programs
Illustrative scenario
Recover a program with unclear ownership
A delayed program could benefit from a bounded recovery assessment that separates scope decisions, delivery dependencies and acceptance evidence before committing to a revised plan.
Pain points
  • Milestones slip without a clear cause
  • Decisions remain open across teams and suppliers
  • Progress is reported without acceptance evidence
Candidate scope
  • A dependency and decision register
  • Named owners and an achievable sequence of releases
  • Readiness checks and an evidence-based reporting cadence
Measures to establish
Decision age
Time that material decisions remain unresolved
Accepted scope
Completed work meeting documented acceptance criteria
Delivery reliability
Agreed milestones completed within their revised scope and dates
Decision gate
Agree a recovery plan only after owners confirm capacity, dependencies and scope.
Business systems
Illustrative scenario
Access controls that can be reviewed and operated
A team could connect policy to daily operations by defining access ownership, reviewing privileges and documenting how exceptions are approved and removed.
Pain points
  • Unclear owners for privileged accounts
  • Access persists after responsibilities change
  • Control evidence is difficult to assemble
Candidate scope
  • Inventory of in-scope systems, roles and approval owners
  • Joiner, mover and leaver procedures
  • An evidence register and a scheduled review process
Measures to establish
Ownership coverage
In-scope accounts with an accountable reviewer
Exception closure
Overdue exceptions and time to complete remediation
Review completion
Required access reviews completed with recorded decisions
Decision gate
Verify controls against the agreed system scope; a scenario is not a compliance certification.
Customer communications
Illustrative scenario
Reliable notifications across supported channels
A business could review notification rules, customer preferences and delivery failures before adding channel orchestration and fallback behavior.
Pain points
  • Repeated or contradictory customer messages
  • Limited visibility into failed delivery
  • Channel costs are hard to attribute to a journey
Candidate scope
  • A message inventory with owners and purpose
  • Preference-aware routing and duplicate prevention
  • Delivery logs, failure handling and a cost dashboard
Measures to establish
Successful delivery
Messages confirmed by the channel provider, with limits documented
Duplicate rate
Unintended repeated messages for the same business event
Journey cost
Channel and operating cost for the agreed notification journey
Decision gate
Validate provider availability, customer preferences and fallback behavior before rollout.

PROOF SPRINT

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We diagnose fast, lock the success measure, and deliver the approved change with controlled execution. You leave with shipped work, plus a Proof Vault entry showing what changed, what improved, and the value unlocked.

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