Impact develops bespoke AI integrations for existing business software. We connect useful AI features to your applications, databases and working processes, drawing on our experience with .NET, PHP/Laravel, SQL databases and API development.
Add AI features to the software your business already uses.
Your customer records, specialist knowledge and publishing tools already have a place in your business. Our AI development work starts with those systems: finding the relevant information, preparing a focused request and returning a result your team can use within its workflow.
That might be a guest briefing integrated into hospitality software, AI assistance in a legal-register platform, or content generation inside an existing CMS. Each example connects the model to a specific task and a clear review step.
Start with the work you want to improve.
A customer-service team preparing for an arrival. A compliance manager working through a legal register. An editor turning a relevant story into a useful article. These are specific tasks with information to work from, people to support and a clear place for review.
That is where we start: understanding what happens today, where time is spent and what a better result would look like. We then identify which parts need AI, which can use straightforward automation and where people should make the decision.
Business benefits with a practical purpose.
- More time for skilled work. Prepare drafts, organise information and reduce repetitive handling, so your team can focus on checking, deciding and helping customers.
- More personal customer service. Bring relevant history and preferences into a useful briefing, giving staff a clearer starting point for a thoughtful conversation.
- Knowledge that is easier to use. Turn a large body of specialist material into clearer questions, explanations and summaries, with the detail available for review.
- More consistent handovers. Give people a shared structure for preparing information and recording the next steps across teams.
- Clearer management information. Draw together detailed records into a summary that helps leaders identify the matters needing attention.
- Less work between systems. Connect the AI-assisted task to your existing applications, reducing repeated copying, re-keying and switching between tools.
The benefits depend on the task, the quality of the information and how the system is used. We agree what success means at the start and test the approach against real examples, rather than assuming that adding AI will improve every process.
It takes more than a prompt to deploy AI well.
A promising demonstration is only part of the work. A working business system needs the right information, sensible access controls, reliable integrations and a clear route from an AI response to an action someone can review.
Impact’s wider experience in software engineering, databases, APIs, web applications and operational systems matters here. We can look at the process around the model: how records are found, which information should be supplied, where the output belongs and what happens when a request fails or a person needs to intervene.
- Business analysis. Understand your users, exceptions and responsibilities before choosing a technical approach.
- Data and integration. Connect the relevant records and services, preserve source references where available and avoid creating another disconnected information store.
- Application design. Put AI assistance into an interface people can use, with editing, review and approval at the appropriate points.
- Operational engineering. Plan for permissions, errors, overlapping jobs, logging, costs and the ongoing support a live workflow needs.
- Testing and refinement. Review representative examples with your team, establish the limits and improve the process as you learn.
AI integration for .NET and PHP/Laravel applications.
Our hospitality and legal-register work builds on established .NET applications and SQL Server data. Check This Car demonstrates AI content automation in a Laravel application. These projects require application and database development as well as instructions for a language model.
For a new integration, we assess the available database queries, APIs and application extension points. We agree which records the AI needs, how access should be controlled and how the response will be presented or stored. Model requests, output handling and any background processing are designed around the capabilities of the existing system.
Our API development and systems integration experience supports that work, from connecting information sources to handling failures. The right solution may combine conventional rules, scheduled tasks and an AI-assisted step.
Human review within the application.
We design around the decisions your team needs to make. That can mean checking a customer briefing, assessing a compliance suggestion or approving an article draft. AI can help prepare and organise the information, while your people apply their knowledge and judgement.
Good automation also needs boundaries: the information a user is allowed to see, the actions a system can take and the circumstances that require review. Those decisions belong in the design of the application, alongside the model and its instructions.
A focused route from idea to working capability.
- Find a worthwhile task. Choose a process with a clear owner, useful information and an outcome you can assess.
- Prove the approach. Build a focused prototype and review the results with the people who know the work.
- Connect it to the business. Integrate the capability with the existing software, permissions and review process.
- Measure and improve. Assess quality, effort and running costs, then refine the workflow using feedback from the team.
Our recent projects show how the same approach can support very different businesses. Explore the examples below to see the challenges, the workflows and the role AI plays in each.
AI IN PRACTICE
See what this looks like in a working business.
Explore how we have brought AI into customer service, compliance and content workflows.
AI & Hospitality
MySilverSands
AI guest briefings integrated into hospitality software.
We integrated AI with MySilverSands’ existing guest records to prepare staff briefings covering stay history, dining, housekeeping requests, favourite drinks, birthdays and anniversaries.
Explore the project
AI & Compliance
Simplifi
AI development for legal-register and compliance workflows.
Bespoke AI development within Simplifi’s legal-register platform: legislation applicability question cards, compliance-assessment assistance and executive summaries.
Explore the project
AI & Content
Check This Car
AI content generation integrated into an existing CMS.
We developed AI content automation within Check This Car’s Laravel CMS, connecting motoring news feeds, structured article drafts and editorial review.
Explore the project