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Clarisolv

Experience & Outcomes

Current proof, enterprise experience and practical delivery patterns.

Clarisolv combines current company delivery, product development and more than 27 years of leadership experience across enterprise technology, programme delivery, managed operations and transformation.

See current Clarisolv proofExplore broader experience

Live product

JolieJobs in production

Product build

Idaraa retail operating platform

27+ years

Enterprise leadership experience

IBM Z

Mainframe and critical-technology depth

Current Clarisolv proof

Work that exists today—not only experience we bring from the past.

These examples show current Clarisolv-owned platforms and operating capabilities with verifiable production or development evidence.

Live product

JolieJobs — production talent platform

Operating problem

Employers need a more structured way to discover, assess and connect with serious specialist talent without turning the process into a high-volume job board.

What Clarisolv built

Clarisolv designed and built JolieJobs as a secure talent marketplace with employer and candidate verification, explainable matching, managed-hiring workflows, administration controls, production monitoring and a commercial operating model.

  • Live production platform
  • Secure employer and candidate workflows
  • Managed Hire and commercial model
  • Operational admin and delivery controls
Visit JolieJobs
In development · Pilot programme

Idaraa — retail operating platform

Operating problem

Growing multi-location retailers often operate across disconnected POS, inventory, supplier, delivery, workforce and finance workflows, making management control harder as the business scales.

What Clarisolv built

Clarisolv is developing Idaraa as an AI-enabled retail operating system connecting branches, inventory, warehouses, purchasing, suppliers, fulfilment, workforce, finance and management visibility around one operating model.

  • Multi-branch architecture
  • Arabic and English operating model
  • Connected retail workflow design
  • Pilot-oriented product development
Explore Idaraa
Current company capability

Clarisolv digital operating presence

Operating problem

A growing services company needs a credible, measurable and secure digital operating presence rather than a static brochure site disconnected from delivery and commercial workflows.

What Clarisolv built

Clarisolv rebuilt its corporate web presence around static-first performance, structured service and industry architecture, production contact handling, analytics consent, accessibility, SEO, security controls and automated Azure deployment verification.

  • Azure-hosted production site
  • Automated SEO, security and performance gates
  • Consent-aware analytics
  • Production smoke and domain checks
Review Security & Privacy
View Detailed Case Evidence

Evidence standards

Evidence should be useful, attributable and proportionate.

Clear attribution

We separate current Clarisolv delivery and product work from earlier leadership experience and representative engagement patterns.

Confidentiality respected

Examples are anonymized where client, employer or programme details cannot be disclosed responsibly.

Evidence over decoration

We focus on the operating problem, work performed, controls introduced and observable delivery evidence.

Outcome discipline

Where verified metrics are available they can be used; where they are not, we describe the operational result without inventing numbers.

Representative experience

Patterns of work that translate into current Clarisolv capability.

The examples below identify the basis of the experience so buyers can distinguish current Clarisolv work from leadership history and representative engagement patterns.

Enterprise programme and enablement operations

Leadership experience

Operating context

Large, distributed programmes often involve multiple countries, stakeholders, technical teams and delivery dependencies. Without a strong operating rhythm, visibility declines and decisions slow down.

Relevant contribution

Programme governance, stakeholder coordination, delivery tracking, risk and issue management, executive reporting, escalation design and operational cadence.

Designed outcomes

  • Clearer accountability across distributed teams
  • Improved visibility of delivery risks and dependencies
  • Faster escalation and decision-making
  • More consistent execution across regions and workstreams
Managed OperationsEnterprise TechnologyAdvisory Engagement

Critical enterprise technology and mainframe continuity

Leadership and specialist delivery experience

Operating context

Business-critical platforms require specialist capability, disciplined service management and continuity planning. Skills gaps and fragmented ownership can create operational and modernization risk.

Relevant contribution

Service-delivery oversight, specialist coordination, IBM Z and z/OS capability planning, operational governance, resilience focus and modernization programme support.

Designed outcomes

  • Stronger operational control around critical platforms
  • Better coordination of specialist resources
  • Reduced dependency on informal knowledge
  • A more controlled path from continuity to modernization
Mainframe ServicesEnterprise TechnologyDedicated Team

Managed recruitment and specialist talent operations

Clarisolv capability and platform development

Operating context

Organizations often need specialist talent quickly, but internal recruitment teams may lack capacity, market reach or the operating structure required for consistent hiring delivery.

Relevant contribution

Role intake, sourcing workflow, candidate screening, structured review, employer coordination, talent-pipeline governance and managed-hiring support through Clarisolv and JolieJobs.

Designed outcomes

  • More structured access to specialist talent
  • Greater visibility across the hiring pipeline
  • Reduced coordination burden on hiring managers
  • A flexible route from sourcing to managed hire
Talent & WorkforceSpecialist TalentManaged Hire

Operational design for growth-stage businesses

Representative Clarisolv engagement pattern

Operating context

Growth can expose weak ownership, inconsistent processes and over-dependence on founders or a small number of key employees.

Relevant contribution

Operating-model design, responsibility mapping, workflow definition, governance rhythm, service measures, reporting structures and transition planning.

Designed outcomes

  • Clearer ownership and decision rights
  • More repeatable day-to-day execution
  • Reduced founder and key-person dependency
  • A stronger base for adding capacity and technology
Managed OperationsProject DeliveryAdvisory Engagement

Practical AI and workflow automation

Clarisolv capability and current product work

Operating context

AI initiatives frequently begin with tools rather than a well-defined operating problem. This creates pilots that look impressive but fail to improve real work.

Relevant contribution

Use-case prioritization, workflow mapping, data and risk review, human-control design, proof-of-concept planning and operational adoption support.

Designed outcomes

  • Automation tied to a defined business problem
  • Clearer human oversight and exception handling
  • Lower implementation risk
  • A practical path from experiment to operating capability
AI & AutomationProject DeliveryOutcome-Focused Engagement

Purpose-built operational platforms

Clarisolv product-development experience

Operating context

Some operating problems are difficult to solve with fragmented tools. A purpose-built platform can create a more integrated workflow and better management visibility.

Relevant contribution

Problem definition, product architecture, workflow design, governance requirements, security controls and iterative platform development across JolieJobs and Idaraa.

Designed outcomes

  • Technology designed around operational reality
  • Integrated workflows rather than isolated features
  • Clearer management visibility
  • A reusable foundation for future services and products
BuildEnterprise TechnologyAI & Automation

Outcome themes

The result should be visible in how the operation works.

Control

Clear ownership, governance, escalation and management visibility.

Continuity

More dependable delivery around critical operations and technology.

Capacity

Flexible access to specialist people and managed execution.

Scalability

Repeatable workflows and operating structures that support growth.

Modernization

Practical transformation without losing operational discipline.

Adoption

Technology and AI designed around how people actually work.

Your context will be different

Start with the operating challenge you actually have.

We begin with the problem, the current operating reality, the dependencies and the outcome that matters, then shape the delivery model around it.

Discuss your outcomeReview engagement models →