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Navigate the AI hype
Use your AI budget wisely
92%
of organizations are considering investment in AI-powered software
AI advisory services
Adopting technologies like AI is a necessity for survival and growth
Our suite of services is crafted to guide businesses through every stage of AI integration and optimisation, ensuring that AI's transformative power is used to its fullest potential. From initial process discovery workshops to detailed automation roadmaps and comprehensive report preparations, our offerings are tailored to meet the unique needs of each client.
Process Discovery Workshops
An interactive exploration of your current operations to identify key areas for improvement and automation.
Automation Initiatives Assessment
Prioritization of AI initiatives based on ROI, ensuring your investments are directed towards the most impactful areas.
Functional Requirements Documentation
Detailed analysis and documentation of requirements for AI-powered solutions, ensuring alignment with business goals.
Data Source Assessment
A thorough examination of your data quality and strategies for enhancement, preparing the foundation for AI implementations.
Technical Environment Assessment
Evaluation of your existing technical infrastructure to identify the optimal AI solutions and integration strategies.
Automation Roadmap Development
A strategic plan outlining the scope, timeframe, and milestones for your AI journey, complete with risk assessment and mitigation strategies.
What do we offer
Why us?
Expert Team
Led by our experienced specialists, including a dedicated in-house Data Science team, we blend technical expertise with deep business process knowledge.
Cross-Industry Best Practices
We leverage best practices from multiple industries, helping you adopt the most effective solutions for your unique needs.
Comprehensive Approach
From end-to-end assessments to close alignment with your business objectives, our methodology focuses on achievable metrics of success and risk-aware implementation.
Practical Outcomes
Gain detailed ROI models and a clear scaling plan—a lean approach that delivers tangible results and growth.
Security and Access Policies Design Philosophy
We emphasize robust security and access policies, designing solutions that ensure your AI systems meet the highest standards of confidentiality, compliance, and data protection, while providing controlled access to sensitive information.
Holistic Support
Our workshop covers change management and training, ensuring your team is fully equipped to sustain improvements long after the workshop ends.
AI Services
Intelligent Document Processing adoption
AI Solutions adoption
AI Agents implementation
Intelligent Document
Processing adoption
Our AI Workshop for IDP is an intensive 2-week program designed to help organizations transform their document processing operations with AI-powered automation. This workshop combines our proven methodology with deep expertise in IDP solutions, delivering actionable implementation roadmaps.
Goals
- Assess the current document processing landscape and pain points
- Identify high-impact IDP opportunities across departments
- Develop clear ROI models and business cases for IDP implementation
- Create a detailed implementation roadmap with prioritized initiatives
- Define technical architecture and integration requirements
- Establish governance and risk management frameworks
Deliverables
- Current state analysis
- Pain points and opportunities
- Data quality evaluation
- Prioritized use cases
- ROI models
- Timeline and milestones
- Integration specifications
- Pilot project scope
- Training requirements
Success metrics
- Reduction in document processing time
- Improvement in data accuracy
- Cost savings from automation
- Enhanced compliance and audit trails
- Increased document accessibility
- Reduced manual intervention
- Improved customer satisfaction
- Faster document retrieval times
Methodology & timeline
Week 1
Discovery (Assessment & Opportunities Analysis)
Focuses on assessing current document workflows, identifying pain points, evaluating data quality, prioritizing IDP use cases, and defining ROI models, along with reviewing systems integration and security requirements.
Week 2
Design & Proposal
Involves defining the pilot project scope, success metrics, and detailed requirements, followed by presenting the scope, team, timeline, budget, and preparing an IDP assessment report with recommendations.
AI Solutions adoption
A 4-Week Strategic Roadmap for Organizational AI Implementation. This intensive 4-week workshop is designed to help your organization effectively leverage AI technologies to drive business growth and operational excellence.
Goals
- Strategic AI implementation planning
- Operational efficiency enhancement
- Technology infrastructure optimization
- Performance improvement
- Competitive advantage development
Deliverables
- Identified automation goals
- Business process challenges assessment
- Process improvement opportunities
- Prioritized automation initiatives with their ROI
- Selected pilot scope
- 6-month & 12-month AI implementation roadmap
Success metrics
- Enhanced decision making: Data-driven insights for strategic decisions
- Improved customer experience: Faster, more personalized interactions
- Employee satisfaction: Reduction in repetitive tasks, allowing focus on value-added work
- Competitive advantage: Differentiation through innovation and responsiveness
- Organizational agility: Faster adaptation to market changes
- The workshop will develop detailed ROI models for each prioritized initiative, with clear measurement frameworks to track actual value realization.
Methodology & timeline
Week 1
Discovery (Assessment & Opportunities Analysis)
Lays the groundwork by analyzing current business processes, identifying pain points, evaluating the technology landscape, and mapping AI capabilities to business challenges, with stakeholder interviews, data collection, and initial ROI calculations.
Week 2
Solution Design
Focuses on identifying specific AI applications to address key business challenges, developing initial ROI models, prioritizing use cases, and specifying data requirements for effective process optimization.
Week 3
Deliverables preparation
Focuses on scoping the pilot project, defining the scope, team, timeline, and budget, finalizing the 6-month and 12-month strategic roadmap, and preparing and presenting the final report.
AI Agents implementation
Our AI Workshop for AI Agents is an in-depth 8-week program designed to help organizations harness the power of autonomous AI agents to transform their operations. This workshop combines our expertise in AI agent technology with practical implementation strategies, delivering scalable, secure, and effective AI solutions.
Goals
- Assess organizational readiness for AI agent implementation
- Identify high-impact use cases for AI agents across the enterprise
- Design secure and controlled agent architectures
- Develop clear ROI models and business cases
- Create implementation roadmaps with proper governance frameworks
- Establish monitoring and control mechanisms for AI agents
- Define agent orchestration and collaboration patterns
Deliverables
- Organizational maturity evaluation
- Technical infrastructure assessment
- Skills gap analysis
- Agent opportunity portfolio
- Pilot implementation roadmap
- AI agent opportunities roadmap
Success metrics
- Process automation levels
- Time savings calculations
- Customer satisfaction improvements
- Employee productivity enhancements
Methodology & timeline
Week 1
Organizational readiness assessment
Conduct stakeholder interviews, evaluate current AI maturity, review the process automation landscape, assess the data ecosystem, identify security and compliance requirements, and analyze skills and capability gaps.
Week 2
AI agent opportunity analysis
Dive deep into business processes, identify agent-ready processes, evaluate data accessibility, assess integration capabilities, review risks and compliance, and analyze stakeholder impact.
Week 3
AI agent architecture design
Select and define agent types, determine interaction patterns, establish security and control frameworks, design data access mechanisms, outline integration architecture, and create monitoring and logging systems.
Week 4
Implementation framework
Develop the agent development methodology, plan testing and validation approaches, establish performance measurement frameworks, outline scaling strategies, and plan backup and failover processes.
Week 5
Implementation strategy
Select pilot use cases, plan resources, develop timelines, estimate budgets, and devise change management strategies.
Week 6
Final report, governance, and control mechanisms
Prepare the AI agents readiness assessment report, define agent policies and procedures, establish audit procedures, and create training programs.
Process use-cases
Quote Management
Specifications parsing, RFQ recognition, upsell recommendation, dynamic pricing, dynamic product configuration, quote approvals, and proposal creation are crucial aspects of quote management processes.
Payments & Invoicing
Debit/credit notes, receipts and bank statements recognition, tax documentation automation, and invoice management and splitting are essential processes in payments and invoicing workflows.
Document Flows
Email texts extraction and classification, sales reports parsing, claims processing, AI forecasts for products, services, and resources, and legal contracts data extraction are vital for managing document flows within organizations.
Lead Management
Acquisition, lead scoring, routing, and qualification processes are essential for effective lead management in businesses.
Account Management
Customer onboarding, segmentation, and feedback analysis are key components of efficient account management strategies.
Sales Order Management
PO processing, SO confirmation processing, automated workflows, and order tracking are integral to effective sales order management in organizations.
Opportunity Management
Probability predictions, competition pricing and product analysis, and tender’s documents data extraction are vital for opportunity management in businesses.
Supplier Management
Onboarding, automated selection process, and performance management are key components of efficient supplier management strategies.
AI workshop methodology
01
Explore
AI and IDP technologies, trends, and best practices. Analysis of AI and IDP capabilities across industries. Identification of challenges and opportunities for Automation.
02
Identify
Gap analysis for enhancing document processing with AI. Analysis of customer document-intensive processes to identify potential IDP use cases.
03
Create
Strategic plan, solution design and implementation estimate. Detailed use case development for identified processes. ROI-focused analysis of selected processes.
04
Achieve
Prioritized roadmap for implementing IDP use cases based on ROI and business process improvement potential. Metrics and KPIs for project implementation. Guide for scaling and evolving AI-IDP strategies.
AI solutions adoption readiness
Please answer the following questions (1-2 minutes); this information will help us be better prepared for our initial call about the AI workshop.
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