AI Integration and Automation Services

Artificial intelligence (AI) is rapidly becoming part of everyday digital services and workflows. Many organisations feel increasing pressure to respond from stakeholders, users, or internal teams without always having a clear view of where AI will genuinely help, and where it may add cost or complexity without real benefit.

Used well, AI can improve efficiency, enhance user experience and unlock more value from existing content and data. The challenge is not access to technology, but making sound decisions about what to use, how to use it, and how to manage it responsibly over time.

We take a pragmatic and measured approach to AI. We focus on clear use cases, thoughtful integration and outcomes that can be understood, governed and maintained rather than experimentation for its own sake or solutions that create more problems than they solve.

Our AI services are structured around three complementary pillars, allowing us to support organisations whether they are exploring AI for the first time, addressing a specific challenge, or extending an existing digital estate with confidence.

Who our services are for

Our approach is designed for organisations managing complex digital estates and services, where AI must integrate with existing platforms, workflows and governance models. We help digital and product teams adopt AI in a controlled and practical way to ensure solutions are secure, transparent and sustainable within established operating models.

We typically support:

Digital and marketing leaders under pressure to improve workflow efficiency with AI
Product teams improving digital journeys where human oversight remains essential
Organisations operating in regulated or high-trust environments
Teams seeking efficiency and automation without introducing technical debt
Organisations with existing CMS or DXP platform investments they want to extend

AI integration and automation services

There is now a mature ecosystem of AI-powered tools covering areas such as search, content, personalisation, marketing and customer support. For many organisations, the fastest and lowest-risk route to value is not bespoke AI development but integrating these tools properly into existing platforms and workflows.

DotCentric helps organisations select, implement and integrate AI-powered tools so they work seamlessly with their DXP, CMS, CRM and internal systems. We focus on configuration, data flow and user experience, ensuring that AI features feel intentional and well considered, not bolted on or disconnected from the wider service.

Common AI use cases we support

AI-powered website search and content discovery
AI chat and customer or user assistants
Personalised content and recommendations
AI-assisted content and marketing platforms
Automation of repetitive workflows using AI alongside tools such as Zapier, Make or n8n

Our role is to ensure these tools are implemented securely, governed appropriately and supported over time. We design integrations that teams can understand, manage and adapt with clear ownership and minimal operational overhead.

The outcome is quicker access to AI capability, improved efficiency and a better user experience, delivered in a way that fits naturally within your existing digital estate.

Custom AI development services

In some cases, off-the-shelf tools aren’t the right fit. Where there is a clear business case and defined objective, DotCentric designs and builds custom AI-powered features that integrate directly into websites and digital applications.

Custom AI development is always driven by a specific outcome. This might include helping users find the right information more easily, supporting content teams with drafting and structuring, reducing support overhead, or improving how enquiries are routed and handled.

Examples of custom solutions we design include:

AI website assistants trained on an organisation’s approved content
AI-assisted content creation aligned to brand voice and tone
Intelligent enquiry handling and triage
Smarter forms and onboarding journeys
Internal AI tools for summarisation, insight or knowledge discovery

Our approach emphasises clarity and control from the outset. We define how the AI should behave, what data it can draw from, and where human oversight is required. Solutions are designed to be secure, transparent and maintainable, with monitoring and refinement built in from the start.

The result is a tailored AI capability that feels like a natural extension of the digital product supporting users and teams today, while remaining flexible enough to evolve as needs change.

AI strategy and consultancy services

Not every problem needs AI and not every organisation needs to move at the same pace. Our AI strategy and consultancy services help organisations make confident, well-informed decisions about where AI can genuinely add value, and where simpler automation or process change may be a better fit.

We are often asked to support organisations that feel pressure to “do something with AI” but want to avoid fragmented experiments, unclear ownership or long-term risk. This work provides clarity before commitment.

We start by reviewing your existing digital services, content and workflows, and speaking with key stakeholders across teams. From this, we identify realistic opportunities for AI and automation, highlight constraints around data, governance and risk, and surface areas where AI is unlikely to deliver meaningful return.

Rather than producing abstract recommendations, we focus on practical outputs that can be used to support internal decision-making, prioritisation and sign-off.

Typical deliverables include:

An assessment of AI opportunities and organisational readiness
A prioritised roadmap outlining short, medium and longer term options
Clear recommendations covering feasibility, approach and tooling

The outcome is confidence: a shared understanding of what to pursue, what to defer, and how to move forward sensibly, whether that leads to implementation with us or simply helps you make better decisions about AI across your organisation.

How we approach AI business integrations

Across all AI projects, we apply our evidence-guided approach, designed for complex digital estates and business-critical services. We focus on outcomes rather than technology, design appropriate safeguards and oversight into every solution, and ensure accessibility and usability are considered from the outset.

Every AI integration is designed to work within existing digital platforms, workflows and governance models, rather than around them. We consider how data flows between systems, how decisions are made, and who is responsible for oversight, ensuring AI can be clearly understood and managed.

We are transparent about how AI is used within a service and take a long-term view, aiming to avoid solutions that introduce unnecessary risk or technical debt. Our aim is to help organisations adopt AI in ways that are responsible, sustainable and genuinely useful.

Why DotCentric?

DotCentric brings together expertise in digital strategy, experience design and engineering with a practical understanding of how AI fits into real-world systems.

We have experience working with organisations of varying size and complexity, and we’re comfortable operating in environments where accountability, accuracy and sustainability matter. Our role is to help organisations adopt AI sensibly in ways that enhance digital services rather than distract from them.

Our AI solution packages

We offer clear, low-risk AI packages designed to help organisations move from uncertainty to confident decision-making.

Based on your data maturity, confidence and appetite for change, each package provides a practical, evidence-led step from identifying genuine opportunities, to safely testing ideas, to validating real-world performance. We ensure that your AI investment is driven by insight, not assumption.

View our package options