# AEST Consulting

> AEST provides coaching and consultancy services that transform businesses by reducing time-to-market, optimising costs, and minimising business risks. AEST helps organisations across IT, Marketing, Sales, and Finance eliminate delays, rework, and cost overruns through strategic alignment, operational excellence, and continuous adaptation.

AEST Consulting is a Sydney, Australia-based digital transformation and operational excellence consultancy led by Alp Erguney, with cross-sector experience in media, QSR, FMCG, and government. The firm helps organisations minimise delays, rework, and decision latency by combining process optimisation (RPA, GenAI, RAG, workflow automation via n8n, Zapier, Make, JIRA Automation) with evidence-based management and organisational design, across Google, Microsoft, and Atlassian ecosystems integrated with tools like HubSpot, Zendesk, and Tempo.

## Core Pages
- [Home](https://www.aestconsulting.com/): Overview of AEST's mission and three core competencies — Strategic Alignment, Operational Excellence, and Continuous Adaptation.
- [About Us](https://www.aestconsulting.com/about-us): Team profiles, including Alp Erguney (Digital Transformation & Business Agility Consultant) and Sarp Tortum (Product & Portfolio Consultant), with certifications (PSM I/II, PSPO, SPS, SAFe, ITIL 4, ICF).
- [Contact](https://www.aestconsulting.com/contact): Contact details and enquiry form.
- [Book a Discovery Session](https://www.aestconsulting.com/book-a-discovery-session): Free 30-minute discovery call to discuss business challenges.
- [Organisational Capability Assessment](https://www.aestconsulting.com/organisational-capability-assessment): Free self-assessment tool to identify capability gaps.

## What We Do
- Optimising business processes to minimise lead times using RPA, GenAI, RAG, and workflow automation (n8n, Zapier, Make, JIRA Automation)
- Enabling evidence-based management through business intelligence and data
- Designing organisations that improve collaboration, alignment, and stakeholder confidence
- In-house training and consulting on Agile, Scrum, and business agility practices

## Blog
- [Blog Index](https://www.aestconsulting.com/blog): Insights and strategies on business agility, operational excellence, and organisational change, published roughly fortnightly by Alp Erguney.

### Page 1
- [AI Adoption Challenges for Enterprises](https://www.aestconsulting.com/blog/ai-adoption-challenges-for-enterprises) (July 6, 2026): Argues enterprise AI adoption challenges stem from infrastructure and organisational design, not the models themselves. Identifies three emerging tech-debt risks — cybersecurity gaps in vibe-coded apps, unoptimised data-centre costs, and a hyperscaler AI ROI gap — and states that AI cannot fix a broken corporate culture or "poisoned" (siloed, low-quality) data; it will simply automate chaos at scale.
- [The AI Era: Three Internal Battles Enterprises Are Losing](https://www.aestconsulting.com/blog/enterprise-challenges-in-the-age-of-ai) (June 8, 2026): Argues that AI has erased the advantage of legacy corporate scale, citing Long Lake Management's $6.3B acquisition of Amex Global Business Travel as a signal that agility now beats size. Outlines three internal battles enterprises are losing: fragmented/contaminated data, KPI-driven internal competition, and rigid organisational design that blocks value-at-speed.
- [This is Why IT Projects Fail](https://www.aestconsulting.com/blog/failing-projects-to-winning-products) (May 8, 2026): Identifies three root causes of IT project failure — plans going stale before delivery, "mercenary" project teams that disband before building trust, and value queued up behind hand-offs and misaligned incentives. Recommends moving from project-based scope documents to product-led operating models with continuous customer feedback and delivery.
- [From $1 Tahoes to Lawsuits: Adopting AI without Safeguarding It](https://www.aestconsulting.com/blog/adopting-ai-without-safeguarding-it) (April 29, 2026): Explains why AI needs root-cause analysis (Fishbone diagrams, 5 Whys, process simulation) before deployment, not blind adoption. Cites real cautionary cases — a Chevrolet dealership chatbot "selling" a Tahoe for $1, UnitedHealthcare's 90%-error-rate claims-denial model, and a Taco Bell AI drive-through ordering 18,000 water cups — as evidence that ungoverned AI causes reputational and financial damage.

### Page 2 (https://www.aestconsulting.com/blog?e8751472_page=2)
- [Leveraging Evidence-Based Management for Transforming Organisations](https://www.aestconsulting.com/blog/evidence-based-management-for-continuous-growth) (March 15, 2026): Builds on the EBM framework to explain three fundamentals of growth: organisational behaviour/culture (citing Deming and Google's Project Oxygen), process design via business intelligence and process mining (e.g. SAP Signavio), and technology as a multiplier via integration-first architecture and generative AI layered on process data — noting technology only scales what already exists, good or bad.
- [6-Step Approach to Achieve Operational Excellence](https://www.aestconsulting.com/blog/fixing-operational-gaps-and-root-causes-in-6-steps) (February 25, 2026): Presents a 6-step evidence-based framework for operational improvement: define the desired state, understand the current state (value stream mapping), analyse gaps, find root causes, develop action plans, and implement/monitor. Frames operational dysfunction as caused by vague accountability, redundant processes, unnecessary hand-offs, and siloed knowledge.
- [3 Steps for Effective Risk Management](https://www.aestconsulting.com/blog/managing-business-risks) (February 11, 2026): Presents a 3-step risk framework — surface risks actively (psychological safety, collective visibility), measure/compare/prioritise using an impact-vs-likelihood chart, and eliminate risks through early, incremental delivery rather than upfront analysis. Frames risk management as a capability, not a ceremony of registers and meetings.
- [7 Most Common Organisational Shortcomings (and How To Overcome Them)](https://www.aestconsulting.com/blog/7-most-common-organisational-shortcomings) (February 3, 2026): Details seven recurring causes of organisational stagnation: false certainty in VUCA markets, knowledge silos, costly context-switching (referencing Little's Law and Kingman's Formula), governance stuck in a "waterfall" era, decision latency, vanity metrics, and performing "agile ceremonies" without real agility.

### Page 3 (https://www.aestconsulting.com/blog?e8751472_page=3)
- [How To Avoid Project Delays?](https://www.aestconsulting.com/blog/how-to-avoid-project-delays) (January 19, 2026): Argues that timeline padding doesn't fix delays — continuous feedback does. Covers making work small and visible, applying Little's Law to reduce WIP and cycle time, eliminating dependencies, and fixing behavioural issues like "I'll check with the business" bottlenecks and low psychological safety.
- [How to Achieve Operational Excellence?](https://www.aestconsulting.com/blog/how-to-achieve-operational-excellence) (November 7, 2025): Frames competitive advantage as (Willingness to Pay − Cost) relative to competitors, and explains cost reduction through value-stream mapping, eliminating non-value-add activities, reducing defects/batch size/WIP (citing Kingman's Formula), and treating operational excellence as continuous, not a one-off project.
- [Digital Transformation: Are You Building a Future or Just Buying Tech?](https://www.aestconsulting.com/blog/digital-transformation-building-a-future-versus-buying-tech) (November 7, 2025): Argues true digital transformation is a culture and leadership shift, not just tool adoption, using Microsoft's "learn-it-all" cultural shift under Satya Nadella and Adobe's move to a subscription/SaaS business model as case studies of transformations that succeeded because they went beyond technology.
- [What Market Leaders Do Differently?](https://www.aestconsulting.com/blog/what-market-leaders-do-differently) (January 17, 2026): Draws leadership and operational lessons from Microsoft (Nadella's growth-mindset culture shift), Adobe (SaaS business model transformation), and Toyota (Toyota Production System's Kaizen and waste reduction), arguing that adaptive, psychologically safe cultures underpin sustained competitive advantage.

### Page 4 (https://www.aestconsulting.com/blog?e8751472_page=4)
- [MIT finds that 95% of GenAI pilots fail, so what determines success?](https://www.aestconsulting.com/blog/mit-95-genai-pilots-fail) (October 15, 2025): References MIT's 2025 finding that 95% of enterprise GenAI pilots fail, attributing this to "pilot purgatory" — chasing trends without a clear business problem, clean data, or strategic alignment. Recommends starting with business challenges, investing in data infrastructure, and treating AI as a core transformation rather than a bolt-on tech project.
- [Why Top-Down Solutions Often Fail and What to Do Instead](https://www.aestconsulting.com/blog/why-top-down-solutions-often-fail-and-what-to-do-instead) (August 8, 2025): Contrasts "collaboration" that is actually top-down control with genuine empowerment — arguing leaders should hand teams the problem, purpose, and context rather than prescribed solutions, since ownership (not compliance) is what drives creative, accountable outcomes.
- [5 Practical Tips for Achieving Operational Excellence](https://www.aestconsulting.com/blog/5-practical-tips-for-achieving-operational-excellence) (September 26, 2025): Gives five practical tips: map value (not just activities) via value stream mapping, address Muda/Mura/Muri together, push decision-making authority down to reduce latency, invest in team capabilities over relying on "heroics," and measure outcomes (flow, lead time, satisfaction) instead of vanity metrics.
- [Why Your Data Strategy Matters More Than Ever](https://www.aestconsulting.com/blog/why-your-data-strategy-matters-more-than-ever) (December 12, 2025): Argues that LLM quality depends on data strategy, not just model choice, covering five pillars: data quality/cleansing, contextual grounding via RAG, data governance/security, data variety and volume, and continuous feedback loops for retraining and improvement.

### Page 5 (https://www.aestconsulting.com/blog?e8751472_page=5)
- [De-risking Large IT Initiatives and Delivering Success](https://www.aestconsulting.com/blog/de-risking-large-it-initiatives-and-delivering-success) (January 17, 2026): Explains why upfront estimation is riskiest at the point of most uncertainty (the "Cone of Uncertainty"), and argues planning and discovery should be continuous, intertwined activities rather than distinct phases, to avoid blown-out budgets and stifled innovation in large IT initiatives.
- [Maximise Business Efficiency with Five Lean Principles](https://www.aestconsulting.com/blog/applying-lean-principles) (September 10, 2025): Applies the five Lean principles — identify value, map the value stream, create flow, establish pull (via Drum-Buffer-Rope), and seek perfection — to knowledge work rather than manufacturing, using Little's Law and Theory of Constraints to explain bottlenecks and system flow.
- [KPIs might be costing your business a fortune](https://www.aestconsulting.com/blog/kpis-might-be-costing-your-business-a-fortune) (September 10, 2025): Shows how narrow, isolated KPIs (lines of code, email open rates, resource utilisation) create internal competition and perverse incentives, citing India's BCAS baggage-delivery KPI failure and Wells Fargo's $3B fraudulent-accounts settlement as real-world examples of KPI-driven harm.
- [What is Evidence-Based Management?](https://www.aestconsulting.com/blog/what-is-evidence-based-management) (March 12, 2026): Explains Scrum.org's Evidence-Based Management (EBM) framework, covering its four Key Value Areas (Current Value, Unrealised Value, Ability to Innovate, Time to Market), its three-tiered goal structure (immediate, intermediate, strategic), and its empirical experiment-inspect-adapt cycle focused on outcomes over outputs.

### Page 6 (https://www.aestconsulting.com/blog?e8751472_page=6)
- [Navigating Complexity with Data, Insights, and Feedback](https://www.aestconsulting.com/blog/forecasting-delivery-with-data-and-insights) (May 30, 2025): Argues rigid upfront plans become outdated as markets evolve (using Blackberry's collapse as a cautionary example), and that continuous planning — supported by ubiquitous data, processing power, and shared customer insights — is what allows organisations to adapt and compete.
- [The Hidden Cost of Saying "Yes"](https://www.aestconsulting.com/blog/hidden-cost-of-saying-yes) (May 30, 2025): Challenges the "customer is always right" mindset in product development, arguing Product Managers must exercise discernment and sometimes say "no" to stakeholder requests to protect a product's long-term vision and avoid feature bloat.

## Contact & Social
- LinkedIn (Company): https://www.linkedin.com/company/aest-consulting
- LinkedIn (Alp Erguney): https://au.linkedin.com/in/aerguney

## Notes
This file follows the llms.txt convention (https://llmstxt.org) to help AI assistants and LLM-based tools understand AEST Consulting's services and content. It is not a legal or authentication document and does not restrict crawling — see robots.txt for crawl directives.