Britannic AI

Stakeholder Meetings

Remote or In-Person Interviews

Gathering Requirements

Business Goals and Issues Definition

Goal Alignment

Regulatory Landscape

Sales & Customer Discovery

Customer Feedback and Needs

Revenue Expansion via AI-Based Innovations

Inefficient Processes

Data Silos

Regulatory Constraints

Skills Gaps

Process Automation & Cost Optimisation

Predictive Analytics for Efficiency Gains

Enhanced Customer Experience & Retention

Operational Intelligence & Budget Management

Opportunities Identified and Missed

CRM Systems to enhance sales funnel visibility and automate lead scoring, saving time and focusing sales efforts more efficiently.

ERP Platforms to streamline inventory management, reduce operational bottlenecks, and lower holding costs.

Customer Support Workflows for intelligent routing and query handling, minimizing resolution times and improving customer loyalty.

Model Complexity & Customization: From foundational LLMs (e.g., GPT-based models) to specialized domain-specific solutions.

Regulatory Compliance & Data Security: Ensuring models meet internal frameworks and local legal requirements.

Infrastructure & Integration: Confirming seamless integration with existing systems, such as cloud-hosted or on-premises solutions, depending on your organization’s needs.

Operational Efficiency: Average processing time, cost savings, or workload reductions.

Customer Satisfaction: Net Promoter Scores, support ticket resolution times.

Revenue-Related KPIs: Customer acquisition costs, cross-sell, and upsell conversions.

Employee Engagement: Adoption of AI tools, internal feedback surveys, and upskill rates.

Cost Reduction: Explicitly tracking expenses associated with manual processes or inefficiencies prior to AI adoption.

Efficiency Gains: Target a predefined percentage reduction in processing time and labor costs.

Revenue Increases: Quantify net new revenue or cost savings from AI-driven optimisations.

Regulatory Alignment: Confirm no compliance issues, with clear audit trails.

ROI on AI Investments: Assess whether cost savings and additional revenue sources exceed the resources invested.

Consultancy & Development Fees: Day rates for AI specialists, project managers, and technical experts.

Software & Model Licensing: Subscription fees for AI platforms, or usage-based billing for API calls.

Infrastructure Costs: Cloud resources, storage, or specialized hardware for model training.

Ongoing Support & Maintenance: Optional retainer or ad-hoc support agreements post-implementation.

Working as Part of Your Teams: We embed our experts in your internal teams to upskill members, ensure seamless integration, and keep a close eye on cost-reduction opportunities.

Remote or On-Site: We offer flexible arrangements for remote collaboration or on-site presence as needed to achieve optimal communication and project continuity.

Independent Delivery: Alternatively, our team can operate independently to build and deliver production-ready solutions, with regular check-ins on cost-saving progress.

Project/Programme Management Onboarding: We integrate into your existing project management tools and reporting processes. We can schedule weekly or bi-weekly progress updates keep stakeholders informed about milestones, costs, and potential savings.

Final Acceptance Testing: Conducting final performance tests and gather stakeholder feedback to validate that all KPIs focusing on cost-savings and efficiency improvement to meet or exceed benchmarks established in the discovery phase.

Documentation and Handover: Providing comprehensive documentation covering architecture, user guides, and operational best practices. We offer final training sessions to internal teams, ensuring they are equipped to manage, scale, and continue capitalising on cost-saving measures.

Post-Launch Support: Define a support schedule for troubleshooting, maintenance, and future enhancements. We can propose a roadmap for additional features or continuous improvement based on your business evolution and technological advances.

Review and Continuous Improvement: We can schedule regular check-ins to monitor solution performance and revisit KPIs, with particular emphasis on achieving and sustaining cost savings.

We can identify potential upgrades or new use cases to further expand AI’s impact and return on investment within the organisation.

Efficiency & Productivity

Cost Reduction & Profitability

Strategic Advantage

Business Aligned Innovation

Future-Proofing

Customer-Centric Collaboration