Turn AI Strategy Into Working Systems
Hartz AI builds bespoke AI solutions and integrates them into your existing workflows. Samuel Kelly leads technical development at Hartz AI, building production-grade systems that teams can understand, trust and improve.
Gartner research (2023) estimates that 87% of AI projects never make it to production. Hartz AI addresses this by building solutions around existing workflows, not theoretical models. Every project includes team training and documentation so your people run it independently.
Hartz AI builds and deploys AI solutions for UK SMEs. We integrate AI into your existing tools and workflows, build bespoke applications, and train your team to run everything independently. Implementation turns consultancy recommendations into working systems.
Is AI Implementation The Step You Are At?
Implementation is usually the right focus if:
- You already understand AI basics and have some sense of where it could help.
- You have ideas or opportunities identified through consultancy or internal work.
- You want to see real workflows and systems, not just more discussion.
- You are ready to involve specific teams and processes in change.
If you are earlier in the journey, AI training or consultancy might be a better starting point.
Start with AI consultancy insteadWe implement AI workflows and systems for SMEs across sport, charities, professional services, education, and real estate in the UK.
AI Implementation
What Does AI Implementation Involve?
Hartz AI integrates AI into existing business workflows. Implementation turns ideas, strategies and experiments into real systems that people actually use. The UK AI Council recommends phased implementation starting with low-risk, high-value use cases - and that is exactly how we work.
At Hartz AI, implementation work focuses on:
- Designing AI workflows that match your processes and tools.
- Configuring and connecting AI tools in a way teams understand.
- Running pilots and iterations so systems are tested before wider rollout.
- Supporting change management, training, and documentation.
The goal is not to install a tool and walk away. The goal is to embed AI into how work gets done, in a way that feels sustainable for your people.
Talk about an AI implementation projectWho AI Implementation Is For
AI implementation is best suited to organisations that:
- Already have leadership buy in and at least some agreed AI direction.
- Have identified specific processes, teams, or journeys to improve.
- Are willing to invest time from internal stakeholders, not just budget.
- Care about doing things safely and responsibly, not just quickly.
If you are still deciding what to prioritise or how AI fits into your strategy, AI consultancy is usually the right step before implementation.
Start with consultancyWhat can AI implementation actually build for your business?
Implementation projects produce working systems that solve specific business problems. The outputs are real tools and workflows your teams use daily, not prototypes that sit on a shelf gathering dust.
Most SME implementation projects fall into four categories. Each one addresses a different type of operational challenge, and many projects combine elements from more than one category depending on the business need.
Workflow Automation
Connecting tools and steps that currently require manual handoffs, approvals, or data entry between systems.
Document Processing and Data Extraction
Turning unstructured documents into structured, searchable data that feeds directly into your existing systems and reports.
AI-Powered Business Tools
Custom tools built around your specific processes - from intelligent search and classification to automated quality checks and recommendations.
Automated Analysis Systems
Systems that process, compare, and summarise large volumes of data to surface insights that would take days to find manually.
Implementation in practice
We built a system for a commercial property investment firm that processes over 200 investment PDFs and extracts structured data in minutes, replacing days of manual analysis. The system reads each document, identifies key financial metrics, and produces comparison reports the team can act on immediately.
What does an SME AI implementation timeline look like?
Most pilot projects take four to six weeks from scoping to a working system your team can evaluate. Larger workflow automation projects typically run eight to twelve weeks including testing and iteration with real users.
Every project includes a discovery phase where we map your current processes, a build phase where we configure and test the solution, and a handover phase where your team learns to use and maintain what we have built together.
What ongoing support do you get after implementation?
Every implementation project is designed so your team can maintain and improve the system without depending on us permanently. We document everything, train your people, and build with tools your organisation already understands where possible.
Consultancy defines what to build. Implementation builds it. Your team needs training to use what we build - every implementation project works better when your people understand AI fundamentals. Hartz AI builds capability, not dependency.
What Kind Of AI Solutions Does Hartz AI Build?
Implementation work can be small and focused or broader and more ambitious. These patterns cover the most common ways we work with SMEs to get AI into real workflows.
Rapid AI Pilots
Short, focused projects that test a specific AI use case with a small team, so you can learn quickly and reduce risk before scaling.
- Define a clear question, process, or use case to test.
- Build a simple but real workflow or prototype.
- Evaluate impact and decide whether to scale, adjust, or stop.
AI Workflow Automation Projects
Projects that design and implement AI powered workflows across teams or functions, usually connecting multiple tools and steps.
- Map current and desired processes with your teams.
- Design AI infused workflows that reduce manual effort.
- Implement, test, and refine with real users.
AI Tool Rollouts And Integrations
Structured rollouts of AI powered tools and platforms, supported by sensible governance, training, and change management.
- Choose the right tools based on your context, not trends.
- Plan phased rollouts that give teams time to adapt.
- Integrate tools with existing systems where possible.
Will My Team Be Able To Run It Independently?
Implementation is the bridge between planning and long term capability. It connects what you have learned and decided with how people actually work day to day.
Learn And Align
Use AI training to build shared understanding and get teams comfortable with AI concepts and tools.
AI TrainingDecide And Prioritise
Use AI consultancy to decide where AI can add the most value and which projects to focus on first.
AI ConsultancyImplement And Prove
Use AI implementation projects to build real workflows, run pilots, and prove value with teams.
AI ImplementationScale And Specialise
Move into bespoke AI solutions and champion programmes to scale what works and embed capability.
Bespoke AI SolutionsLearn And Align
Use AI training to build shared understanding and get teams comfortable with AI concepts and tools.
AI TrainingDecide And Prioritise
Use AI consultancy to decide where AI can add the most value and which projects to focus on first.
AI ConsultancyImplement And Prove
Use AI implementation projects to build real workflows, run pilots, and prove value with teams.
AI ImplementationScale And Specialise
Move into bespoke AI solutions and champion programmes to scale what works and embed capability.
Bespoke AI SolutionsWhat Do Organisations Gain From AI Implementation?
AI implementation is where the value starts to show up in day to day work. It is also where trust is built, because people can see and feel the difference.
- Real workflows that save time, reduce errors, or improve quality.
- Better adoption because teams are involved in design and testing.
- Clearer evidence about what works and what does not before scaling.
- Foundations for bespoke systems that can be built on top of proven patterns.
Is An Implementation Project The Right Next Step?
AI implementation is usually the right next move if:
- You can name a specific process or journey that AI could realistically improve.
- You have at least one team who is open to trying something new.
- You want to learn through doing, not just more analysis.
- You are prepared to give a project the time and attention it needs to work.
If you have multiple ideas and are not sure which to start with, we can help you shape a sensible project during an initial consultancy conversation.
FAQs About AI Implementation
What Do People Ask About AI Implementation?
These questions cover how we think about implementation, how projects are scoped, and how we work with your teams.
Consultancy defines what to build. Implementation builds it.
If you are not yet sure which processes to target or which AI approach makes sense, consultancy gives you the strategic clarity that makes implementation projects succeed from the start.
Explore AI ConsultancyYour team needs to use what we build.
Every implementation project works better when your people understand AI fundamentals. Training ensures your team can use, maintain, and improve the systems we build together.
Explore AI TrainingBespoke AI Solutions
Coming soonWhen implementation proves value, bespoke solutions take it further with custom-built AI systems designed specifically for your organisation.
Make AI real in how you work
Ready To Turn AI Ideas Into Working Workflows?
If you are ready to move beyond conversation and pilots that never quite land, we can help you scope and deliver AI implementation projects that fit your organisation and give your teams something solid to build on.