Magus AI builds production AI agents, voice AI, predictive models, and Claude and OpenAI implementations for businesses in the UK and US. We take the work from a focused proof to production.
Trusted by businesses across the UK, US and international markets.
Growth brings more information and more decisions. We build systems that reduce the work of getting from one to the other.
Requests multiply. Ownership, approvals and updates still depend on someone chasing the next step.
The answer is spread across documents, inboxes and systems. The team has to assemble it before acting.
Tools need company knowledge, useful connections and a repeatable way to do the work.
Choose the outcome that matters. We build the system around it.
Handle more work with the team you already have by removing repetitive operational load.
Explore the impact ↗OUTCOME 02Improve response speed, prioritisation, conversion and customer throughput without simply adding more people.
Explore the impact ↗OUTCOME 03Turn fragmented documents and data into usable context for the people who need to act.
Explore the impact ↗OUTCOME 04Give customers faster answers and clearer updates, connected to the systems your team already uses.
Explore the impact ↗From the first workflow to the software behind it. Four services, with a clear job to do.
Implement Claude and OpenAI around the work of finance, buying, commercial and operational teams.
↗02Build agents for investigations, evidence checks and controlled actions across business systems.
↗03Build tested data foundations, reconciled reporting and predictive models for business decisions.
↗04Build owned platforms for complex records, approvals, case work and the integrations behind them.
↗Explore the capabilities we use to turn business problems into working software.
AI agents for research, case preparation and controlled actions across your business systems.
Claude implementations for teams, with company knowledge, repeatable workflows and connected tools.
ChatGPT team rollout, connected assistants and OpenAI powered workflows tailored to your business.
Internal assistants and workbenches that help teams research, review and act with the right context.
Company knowledge systems with relevant sources, current versions and appropriate access.
Voice AI for enquiries, service and operational conversations, connected to your records and team.
Data foundations, predictive models and BI built around commercial and operational decisions.
Connected systems for operational visibility, reliable integrations and clear ownership of work.
For Dwyer Enterprises, lead sourcing and reply triage become one measurable workflow. Research, context and the next action stay together, with the team in control.
Read the Dwyer Enterprises case study ↗
We implemented AI powered screening and automated recruiter workflows inside Navero’s commercial hiring platform. CV analysis, skills assessments, candidate communication and interview preparation form a connected process, giving recruiters a shortlist with the evidence they need to make the next decision.
Read the Navero case study ↗
We implemented Claude workflows and a multi agent creative engine for Aura’s growth and marketing team. The engine connects competitor research, Meta ad generation, brand review and campaign performance feedback, giving the team a repeatable route from brief to creative testing.
Read the Aura Health case study ↗
We worked alongside Distil’s product and data teams to rebuild the interfaces and engineering behind its customer data platform. The delivery brings clearer audience and segmentation views, preserves existing business rules and integrations, and adds automated checks for future releases.
Read the Distil.ai case study ↗
Wachir’s field operations platform connects the people delivering the service with the records and coordination the office needs. Owned software, built around the way the business works.
Read the Wachir case study ↗
Save My Service Charge brings property documents, tender workflows, follow up and payments into one connected operating process. Context stays with the work as it moves between people.
Read the Save My Service Charge case study ↗
For OmniFleet, driver mobile workflows, GPS tracking, trip status, fuel analytics and preventive maintenance come together in one fleet operations platform.
Read the OmniFleet case study ↗
See where AI can reduce handling time, protect margins and help your team support more work, with implementations built around your sector.
Start with one workflow, real data and a measure that matters. A working proof of concept ships in 2 to 4 weeks.
Start with one workflow and real data. Map the rules and exceptions, build a working proof and test it against an agreed measure.
Build on what the proof validates. Complete the integrations, permissions, testing and handover needed for daily use.
Agree a support scope for monitoring, maintenance and improvements. Extend the system to the next workflow when the result is clear.
Practical guidance for choosing, implementing and evaluating your first AI project.
All insights & resources ↗Start with repeated work, real examples and an outcome you can measure.
Read the guide ↗Company knowledge, connected tools and a repeatable process make AI easier to use in daily work.
Read the guide ↗A working proof should answer a business question and make the next decision easier.
Read the guide ↗Bring us the work your team keeps repeating. We’ll help you choose a practical first build.
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