Model AI usage, platform consumption, implementation effort and expected business outcomes before you invest.
AI creates new opportunities across sales, service, marketing, data, operations and customer experience. But agent usage, platform consumption, delivery investment, change effort and ongoing optimisation can make it difficult to forecast the real business impact with confidence.
Illustrative model only. Your calculator output will depend on your use cases, data, platforms, adoption and operating model.
Enter a few simple assumptions to estimate potential productivity value. Then speak to an expert to pressure-test your use case, data readiness, delivery complexity and next step.
Add your inputs to estimate potential hours saved, indicative annual value and the right next step.
Indicative estimate only. Excludes implementation, platform, licence, change, integration and data costs.
The calculator is designed to help teams move from AI ambition to a practical investment conversation grounded in numbers.
Model conversations, actions, prompts, workflows and automation volume across priority use cases.
Estimate data preparation, activation, queries, AI usage, CRM activity and platform consumption.
Plan sales, service, marketing, operations and customer experience use cases that can create measurable value.
Compare investment, running cost, expected value, payback period, governance and optimisation approach.
As organisations move further towards AI, agents, automation and consumption-based platforms, they need a clearer view of how usage, credits, data, adoption and business value connect.
Agent conversations, actions, prompts, workflows, digital labour use cases and the expected volume of automated activity.
Salesforce, Agentforce, Data 360, CRM and customer engagement use cases where platform usage, credits and data volume influence the model.
Data preparation, unification, segmentation, activation, queries, processing and real-time data use cases that support AI and customer engagement.
Productivity use cases including summarisation, recommendations, assisted selling, case handling, knowledge automation and workflow orchestration.
AI-powered journeys, campaign activation, personalisation, next-best actions and customer engagement across connected channels.
Usage monitoring, adoption, cost control, operating model design and continuous improvement across AI, data and automation services.
Enter expected AI, data, platform, marketing, service and automation assumptions to create an indicative commercial model.
Review the assumptions with our team to pressure-test feasibility, consumption drivers, implementation complexity and expected impact.
Shape a roadmap for AI design, delivery, governance, adoption, monitoring and continuous optimisation.
The AI ROI Calculator helps organisations estimate the potential commercial impact of AI, agents, automation, data and platform investments by modelling expected usage, implementation costs, running costs, managed service support and business outcomes.
AI creates opportunities for productivity, automation, personalisation, cost reduction and growth, but organisations still need a credible business case. ROI modelling helps clarify expected value, investment requirements, usage assumptions and payback before committing to delivery.
The calculator can support planning across AI agents, Salesforce, Agentforce, Data 360, CRM, service, sales, marketing, data platforms, automation and broader AI platforms such as OpenAI, Anthropic, Google, Microsoft and other enterprise AI tools. It is designed to help model use cases where AI, data, workflow automation and platform consumption influence value, cost and business impact.
The calculator can model implementation investment, estimated usage or consumption costs, monthly running costs, AI and data assumptions and optional managed service support for ongoing optimisation and governance.
Yes. Trigg Digital can help review the model, validate the assumptions, prioritise use cases, assess data readiness and shape a practical roadmap for AI implementation, adoption and optimisation.
The next step is to review the output with an expert, validate the assumptions and identify the right first use case to move from business case to roadmap, delivery and measurable business outcome.