Real-World Success Stories
Discover how leading organizations are transforming their operations with our solutions.
EXECUTIVE AI WORKSHOP AND USE CASE DISCOVERY
Building strategic alignment through executive education and collaborative discovery workshop
ENTERPRISE GENERATIVE AI PROGRAM GOVERNANCE
Designing and operationalizing a cohesive enterprise Generative AI program governance
CUSTOM FUNCTIONAL GENERATIVE AI AGENT
Enabling step change improvement in safety and compliance performance
INTEGRATED PRODUCTION MANAGEMENT
Driving higher efficiency and well productivity for an unconventional asset
CONTEXT
The CEO of a mid-sized company saw AI as a strategic lever but faced a common challenge: the executive team lacked the knowledge, framework and experience to identify, prioritize, and operationalize high-impact AI opportunities across the business.
APPROACH
- Led a half-day Executive Workshop with the CEO and senior leadership team, combining education and discovery.
- AI primer covered core concepts, capabilities, and tools, with hands-on exercises for experiential learning.
- Use Case Discovery aligned AI potential with business priorities through a structured review and collaborative prioritization of high-impact opportunities.
KEY DELIVERABLES
- Generative AI primer, including hands-on exercises and best practice guidelines
- Pre-defined use case inventory across key corporate functions
- Collaborative discovery session, resulting in functional company-specific use cases
- Use case prioritization framework to drive strategic alignment
OUTCOME
- Achieved executive alignment on high-impact AI use cases, with clear consensus on immediate priorities
- Catalyzed sustained leadership engagement, leading to follow-up sessions with key functional teams
- Empowered IT leadership with a clear mandate to advance the foundational enablers for AI adoption
CONTEXT
Multiple teams, including IT, Innovation, and various Business Units were independently exploring Generative AI use cases. At the same time, employees were experimenting with public AI chatbots, inadvertently putting sensitive company information at risk. The lack of coordinated efforts and limited knowledge-sharing hindered the organization's ability to scale Generative AI effectively and responsibly.
APPROACH
- Established access and security protocols to mitigate data exposure risks.
- Conducted interviews with key leaders and stakeholders to drive R&R alignment.
- Developed a multi-layered governance model, combining strategic oversight with tactical decision-making.
- Implemented repeatable processes and digital tools to capture, assess, and execute ideas across the enterprise.
KEY DELIVERABLES
- Robust access and security policy guidance and communication plan
- Clearly defined roles and responsibilities across IT, Innovation, and Business Units
- A centralized repository of ~70 use cases to drive visibility and learning
- A cross-functional, ongoing governance cadence to evaluate new opportunities and steer execution
OUTCOME
- Clear R&R reduced duplication of efforts and fostered collaboration across teams.
- Business units and central teams gained a unified view of the Gen AI initiative landscape, improving prioritization and coordination.
- Identified and empowered a network of champions and change agents to advocate for Generative AI adoption and scale its impact across the organization.
CONTEXT
Despite strong commitment from HSE and Operations leaders, the enterprise struggled to improve safety and compliance performance. Inconsistent data capture, manual workflows, and frequent regulatory changes, combined with a less experienced workforce, created persistent execution gaps and limited the impact of improvement initiatives.
APPROACH
- Improved quality of historical safety datasets using automated Gen AI tool.
- Deployed an integrated HSE agent with unified access to structured and unstructured data across assets.
- Built tailored tools for on-demand data capture, analysis and planning, accelerating insights and mitigation plans.
- Developed an on-demand, personalized communication tool to drive compliance.
KEY DELIVERABLES
- Generative AI powered agent deployed in client cloud environment
- Custom analysis and planning tools
- Built-in field data-capture and personalized communication tools
- Accessible via intuitive desktop, tablet, and mobile interface
- Proactive change management, including user training and hyper care
OUTCOME
- Enhanced data quality and consistency unlocked deeper insights from historical safety datasets.
- Automated analysis and planning capabilities resulted in more efficient and effective HSE workflows.
- Simplified data capture and personalized field communications improved frontline engagement, user experience, and compliance rates.
CONTEXT
Operations teams were juggling multiple disconnected tools (Dashboards, SCADA, surveillance tools, OMS, ERP, etc.) to monitor production, track exceptions, and manage work orders. As well counts grew without a corresponding increase in headcount, this led to rising deferred production and delays in diagnosing and addressing issues, adversely impacting downtime and production outcomes.
APPROACH
- Deployed an integrated Production Assistant with unified access to structured and unstructured data across the asset.
- Built tailored tools for on-demand analysis and exception handling, accelerating RCA and response times.
- Integrated with ERP systems to automate work order creation and reduce overhead.
- Enabled user-driven automation to boost productivity and scale effectiveness.
KEY DELIVERABLES
- Generative AI powered assistant deployed in client cloud environment
- Custom analysis and automation tools
- Built-in user-driven exception identification and tracking mechanism
- Accessible via intuitive desktop, tablet, and mobile interface
- Proactive change management, including user training and hyper care
OUTCOME
- Shifted engineers' focus from data gathering to decision-making, enabling faster, higher-quality analysis.
- Accelerated root cause analysis and response times, leading to measurable reductions in deferred production.
- User-defined automations proactively flagged issues, cutting unplanned downtime and lowering operating costs.