_ — AI Strategy & Digital Transformation Advisor

AI Strategy & Digital Transformation Advisor

Helping organizations move from AI ambition to AI execution through structured systems and process clarity.

Pattern Recognition

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AI transformation fails less from technology gaps and more from strategic sequencing errors.

01

Tools selected before strategy

02

Automation mistaken for intelligence

03

Workflow inefficiencies ignored

04

Adoption not considered in system design

AI fails when structure is missing. Execution succeeds when systems are aligned.

Services

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Engagement options designed for executive clarity and practical implementation outcomes.

AI Readiness Assessment

A focused diagnostic on process maturity, data constraints, and adoption barriers.

Outcome: Priority opportunities, risk map, and implementation sequence.

Ideal for leadership teams preparing for structured AI rollout.

Schedule Consultation
Recommended

AI Strategy Roadmap

A 2-4 week structured engagement to align leadership, systems, and execution priorities.

Outcome: Executive roadmap, capability model, and delivery plan.

Ideal for scaling organizations ready for execution planning.

Schedule Consultation

Advisory Retainer

Ongoing strategic oversight for AI decisions, implementation quality, and vendor alignment.

Outcome: Senior-level guidance with continuity from planning through rollout.

Ideal for transformation leaders needing ongoing strategic oversight.

Schedule Consultation

Execution Model

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Structured methodology to move from uncertainty to validated implementation.

1

Diagnose

Identify operational friction and clarify AI suitability across functions.

2

Design

Map workflows and define a structured system architecture tied to business goals.

3

Validate

Assess feasibility, dependencies, and implementation readiness before execution.

4

Implement or Advise

Guide execution directly or support vendor selection and delivery governance.

Execution Insights

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Real-world patterns from AI readiness and transformation engagements.

AI Readiness

From Hype to Hiring Plan

1

Client A

Series B SaaS company exploring AI across operations and product.

Challenge

Leadership excited but misaligned - five teams, five different AI visions, no shared criteria for prioritization.

Intervention

Ran a structured readiness diagnostic across functions, mapped capability gaps, and built a sequenced opportunity matrix.

Result

Unified executive roadmap delivered in 6 weeks. First initiative launched within the quarter.

Process Automation

From 200+ Tenders to Zero Missed SLAs

2

Client B

Regional equipment distributor managing over 200 government tenders per year with manual workflows.

Challenge

Tender prep consumed hours of active work, but most of the SLA window was lost to approval bottlenecks. Over half of submissions were missing deadlines. Teams relied on personal spreadsheets with no structured data.

Intervention

Built a multi-screen POC covering document scanning, AI-driven specification matching, and automated document assembly. Uncovered conflicting approval chains through a company-wide diagnostic and designed a production architecture with configurable approval templates and audit logging.

Result

POC validated the full workflow end-to-end. Architecture workshop locked down data migration and governance decisions. System designed to support dozens of manufacturers and multi-currency pricing.

Process Architecture

Structure Before Scale

3

Client C

Enterprise digital transformation team with stalled AI pilots.

Challenge

Three concurrent AI pilots running without shared architecture, governance, or success metrics.

Intervention

Designed a unified process architecture with clear stage gates, dependency mapping, and outcome definitions.

Result

Consolidated pilots into a single governed program. Two of three moved to production within 90 days.

Outcomes Clients Achieve

Executive alignment on AI priorities
Reduced vendor and tooling risk
Faster time-to-production for AI initiatives
Clear governance and decision frameworks
Workflow-first implementation sequencing
Measurable ROI criteria before investment

Details anonymized to respect client confidentiality.

Bishan Fernando — AI Strategy & Digital Transformation Consultant

Credibility

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With over a decade of experience at the intersection of design, technology, and business strategy, I bring a practitioner's lens to AI advisory. As Founder of Looplogic, I build AI-native tools and consult on implementation strategy. Previously, I led Customer Experience & Design at Beta Launch, shaping product strategy for high-growth startups, and served as Associate UX Architect at Fortude, designing enterprise-scale systems.

“I work with leadership teams to separate AI noise from strategic opportunity, then turn insights into executable systems.”

Beta LaunchFortudeLooplogic

Next Step

Book a 30-Minute AI Clarity Session

A structured diagnostic conversation to assess your AI opportunity and define concrete next steps - no sales pitch, just strategic clarity.

  • Identify your highest-impact AI opportunity
  • Get a clear next step, not a generic pitch
  • Understand feasibility before committing budget
  • Walk away with an actionable framework

Trusted by transformation teams across enterprise and growth-stage companies.

Free 30-Min Session

Select a time that works for you. You'll receive a brief intake form to help me prepare for our conversation.

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