Bringing Derailed AI Initiatives: AI Project Recoveries
By retooling the target operating model, realigning vendor and stakeholder expectations, and building consensus on a realistic outcome – without financial and technical risks.
Problems Companies Face
When They Need Help With AI Project Recoveries
Companies turn to ElevatIQ when AI projects start to go off track. Maybe the last initiative failed. Or the implementation is delayed and over budget. Key users aren’t engaged. Confidence in results is low. Technical issues keep piling up, but nothing moves forward. That’s when ElevatIQ helps reset the course—with clarity, direction, and results.
Derailed AI Initiatives
The AI implementation is not progressing as well – as per the expectations. The implementation is full of unanticipated surprises. Seek help from ElevatIQ if you lack subject matter expertise or a proven framework for your AI initiatives.
Limited Confidence On Whether the Technical Efforts Would Deliver on the Target State
Users may be excited about the potential, but are lacking confidence that the target state will deliver the promised results. Engage ElevatIQ if they're unsure whether their technical efforts will translate into real business outcomes.
Delayed and Overbudget Implementation
Internal teams lack the subject matter expertise and confidence needed to drive these initiatives successfully? Concerns exist about delays and budget overruns? Turn to ElevatIQ if they need to mitigate these risks and ensure a successful implementation.
Spinning Wheels on Technical Issues
Are teams bogged down in technical issues, unsure how their efforts connect to the target state or promised business outcomes? Turn to ElevatIQ if they feel like they’re spinning their wheels without meaningful progress.
Limited Engagement from Key Users and Stakeholders
Are users lacking clarity or conviction about the impact of their own decisions? Turn to ElevatIQ if there’s a risk of limited engagement from key users and stakeholders.
Continuously Misaligned Expectations Across Departments
Are teams facing competing priorities or conflicting interpretations of the target state? Turn to ElevatIQ if there’s a lack of alignment and consensus across stakeholders.
Want to learn more about why independent advisors have a higher success rate with AI initiatives?
Our Case Studies for
AI Project Recoveries
ECommerce Supply Chain Transformation With ERP Selection
Download the eCommerce Supply Chain transformation case study and learn how LockNLube transformed its inventory and supply chain challenges by consolidating over 20 systems. As well as by creating business, process, information, and system architecture as they prepare for the next phase of their growth.
Omnichannel eCommerce Customer Experience Transformation
Download the omnichannel eCommerce customer experience case study and learn how fashion retailer AKIRA built a digital roadmap and managed stakeholder expectations to transform its processes and systems to explore newer business models such as buy-online-pickup-in-store and curbside pickup.
ERP Implementation Failure Recovery
Download the ERP implementation failure recovery failure case study and learn how Frederick Wildman struggled with Microsoft Dynamics 365 ERP implementation failure even after spending over $5M and what options they had for recovery.
Our Methodology
for AI Project Recoveries
The process begins with data collection, followed by analysis and the development of a tailored questionnaire and RAID logs. Using an iterative approach—combining interviews, process walkthroughs, training, and consensus-building workshops—a correction plan is created with clearly defined roles, responsibilities, and a communication framework for all stakeholders.
1 Data Collection
This phase focuses on data collection and secondary research to form an initial hypothesis, which is then reviewed and refined through discussion. The output of this phase would be RAID logs and questionnaires.
3 Revised Implementation Plan Execution and Change Management
This phase centers on close collaboration with technology vendors and end users to evolve the target state and recalibrate the target operating model. It emphasizes building stakeholder consensus and addressing resistance before incorporating changes into the implementation plan. Once integrated, user stories, test scripts, release schedules, and cutover plans are continuously updated to reflect the evolving strategy.
5 Hypercare and Post-Go-Live Change Control
This phase implements a controlled change management process to prevent short-term fixes from undermining the target operating model, safeguarding long-term maintainability, sustainability, and adoption.
2Implementation Plan Realignment and Review
This phase focuses on reviewing the existing implementation plan, including RACI models – assessing the feasibility of user stories, testing criteria, and business process complexity. It also evaluates how these elements impact the target state, along with any identified assumptions and risks.
4Go-live Support and Change Readiness
This phase ensures go-live readiness by closely collaborating with users and AI technology vendors to resolve last-minute concerns and validate the system's stability and functionality before launch.
Ready to learn how we can help With AI Project Recoveries?
Our
Other Artificial Intelligence Consulting Services
AI-Enablement Strategy and Planning
Our AI Strategy and Planning begins with a deep assessment of your current challenges, followed by a rapid roadmap outlining multiple paths forward—whether through modernizing existing systems or adopting new technologies. Each option is supported by a detailed business case, highlighting its pros, cons, risks, and potential rewards.
AI-enabled Process and Data Transformation
This service supports clients facing specific process or data challenges and exploring whether AI could be the solution. It's also well-suited for organizations unsure if their issues stem from processes, technologies, or both. ElevatIQ helps define a comprehensive, AI-enabled target operating model that integrates all critical dimensions—agentic and human processes, data, and systems—needed to enable and sustain a successful AI-driven transformation.
AI Technology Procurement Decision Support
This service supports formal procurement processes for AI technologies, including conducting benchmarks to inform decision-making. Once potential solutions are identified, ElevatIQ helps develop a structured RFP and consensus-building framework, source potential vendors, and facilitates vendor engagement—guiding negotiations until the client is fully confident in their selection.
AI Implementation and Change Management
This service supports the implementation of the target operating model by integrating key dimensions—including agentic and human business processes, data, and technologies. ElevatIQ works closely with end users and vendors to continuously recalibrate the model as assumptions shift and business context evolves.
AI-native Cx and Operational Strategy
This service helps companies understand how their peers and competitors are leveraging AI to transform their Cx workflows and operations. It also clarifies how AI-native workflows and experiences differ from traditional, non-AI approaches. As part of the engagement, ElevatIQ develops a rapid roadmap outlining various options—each with a clear view of the pros, cons, risks, and potential rewards.
