INSIGHTS NEWS

Trigg Digital Launches AI Practice Led by Mark Hartnady

By Steve Paul 2 July 2026 9 min read

A new AI practice helping organisations design, deploy and scale practical AI, agents and automation across sales, service, marketing and operations.

AI and agents are no longer side conversations in business transformation. They are becoming part of how organisations sell, serve, operate, analyse, automate and make decisions.

But for many businesses, the challenge is no longer whether AI has potential. It is how to turn that potential into something useful, trusted and connected to the way people already work.

That is why we are pleased to announce the launch of Trigg Digital’s dedicated AI Practice, led by Mark Hartnady in his new role as Chief Technology & AI Officer.

This also builds on Trigg Digital’s recent partnership with Anthropic, strengthening our ability to help organisations bring together enterprise data, Salesforce expertise, trusted AI models and practical workflows that can move from experimentation into production.

The move reflects where the market is going and where Trigg can create the greatest value for clients: helping organisations move beyond AI experimentation and into real, operational use cases that improve performance.

Steven Paul, CEO, Trigg Digital

Steven Paul

Chief Executive Officer,
Trigg Digital

“The businesses that win with AI will be the ones that connect it to meaningful problems, measurable outcomes and the way their teams actually work.”

Mark Hartnady, Chief Technology & AI Officer, Trigg Digital

Mark Hartnady

Chief Technology & AI Officer,
Trigg Digital

“AI only becomes powerful when it is connected — to trusted data, enterprise systems, intelligent models and usable workflows.”

Key Insight The next phase of AI adoption is about prioritisation and delivery: choosing the right use cases, proving value quickly, and scaling responsibly once confidence builds.

From AI experimentation to live capability

Many organisations have explored generative AI, copilots, agents and automation. Some have launched pilots. Others are still working through what AI means for their data, systems, teams and operating models.

The next stage is different. It is about identifying the right use cases, choosing the right AI capabilities, connecting them to trusted data, embedding them into existing workflows, and ensuring people trust the outputs enough to act on them.

That is where Trigg’s AI Practice will focus: helping clients identify where AI can reduce friction, improve speed, support better decisions and unlock measurable value.

A dedicated AI practice for ambitious organisations

Trigg’s AI Practice brings together our experience across Salesforce, Data 360, Agentforce, leading AI model providers, automation, integration, analytics and customer experience — helping startups, scaleups and established organisations apply AI in focused, measurable ways.

The focus will be on helping clients:

  • Identify high-value use cases — Focus AI efforts on opportunities with clear business value.
  • Assess readiness — Understand whether data, processes, platforms and teams are ready to support AI adoption.
  • Select the right AI architecture — Choose the right mix of models, platforms, integrations and governance patterns.
  • Build and deploy agents — Connect AI into real workflows across sales, service, marketing, operations and revenue teams.
  • Measure impact — Track adoption, productivity, cost reduction, revenue impact and operational improvement.

Broader than one platform

For many clients, Salesforce remains a critical foundation for customer data, workflow and operational execution. Agentforce and Data 360 create powerful opportunities to bring AI directly into the flow of CRM, sales, service, marketing and revenue operations.

But successful AI adoption will not be delivered through one platform alone. Organisations are increasingly exploring a wider AI landscape, including Anthropic, OpenAI and other model providers, alongside existing cloud, data, productivity and technology stacks.

Through our partnership with Anthropic, and our experience across Salesforce, data platforms, integration and automation, Trigg helps clients understand where Salesforce-native AI is the right answer, where Claude and other models may be more appropriate, and how different AI capabilities can be governed, integrated and deployed safely across the business.

This also connects to our recent thinking on Headless 360 and MCP, and why leaders need to map and understand consumption as AI becomes more embedded. The traditional application screen is no longer always the centre of the experience, and AI services increasingly need to be governed by usage, value and operational impact.

Anthropic, OpenAI & Model Providers

Helping clients select and apply the right AI models for the right business problem.

Salesforce, Agentforce & Data 360

AI embedded into CRM, customer data, service, sales, marketing and revenue workflows.

Integration & Automation

Connecting AI into systems, processes, data sources and operational workflows.

Governance & Adoption

Ensuring AI is trusted, secure, explainable and used effectively by the people it supports.

Mark Hartnady appointed Chief Technology & AI Officer

As part of this evolution, Mark Hartnady will take on the role of Chief Technology & AI Officer at Trigg Digital.

Mark has been central to Trigg’s technical direction, platform strategy and innovation agenda, helping shape how we design, build and deliver solutions for clients across complex operating environments.

His expanded role reflects the growing importance of AI in architecture, solution design and business transformation. As Chief Technology & AI Officer, Mark will lead the development of Trigg’s AI Practice, including our approach to AI strategy, model selection, Agentforce, Data 360, governance, technical architecture, accelerators and client delivery patterns.

Leadership Takeaway AI transformation is not just a technology decision. It is an operating model decision, requiring the right use cases, data foundations, governance and adoption path.

AI use cases already taking shape

The launch of the AI Practice builds on focused work already underway across AI strategy, agents, automation, data readiness and value modelling. We believe the strongest AI initiatives start with one focused workflow, then expand as value, confidence and adoption build.

A clear route from AI ambition to action

Turning a focused use case into a live capability takes a clear, repeatable path — connecting the right data and processes, then building confidence through delivery. Across our AI Practice, our model is intentionally simple.

01

Evaluate

Assess business priorities, data readiness, use cases, risks and expected outcomes.
02

Design

Define the workflow, data, integration, model, governance and adoption approach needed to move from idea to execution.
03

Activate

Build, test and launch a focused capability, then measure adoption, performance and impact.

Ready to explore where AI could create value in your business?

Choose the right starting point, quantify the opportunity, then build towards measurable impact.


Want to see practical examples?
Explore Volt, Echo, Pulse and Lumen.

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About the author Steve Paul

Steve brings over 20 years of experience advising and building at the intersection of business and enterprise technology, helping organisations design operating models that translate Data, CRM and AI into measurable outcomes.

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