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Artificial Intelligence

AI Consultancy & Agentic Development for real-world impact

AI is past the demo stage. The organisations pulling ahead are running it in production, with governance that survives an audit. Synapx designs, builds and runs AI systems across Microsoft Copilot, Azure AI Foundry and Anthropic's Claude: from finding the use cases worth funding, through multi-agent systems in production, to training your engineers to build this way themselves.

Our Accreditations

Microsoft Solutions Partner for Data and AI Microsoft Solutions Partner Microsoft Cloud Partner Microsoft Fabric Featured Partner Microsoft Real-Time Intelligence Featured Partner
Anthropic Anthropic Claude
Registered Partner

Copilot · Azure AI Foundry · Anthropic

A mature AI practice, not a lab experiment

There is no shortage of AI pilots in the UK mid-market. There is a shortage of AI systems that survived contact with production: grounded in governed data, measured against a business case, and still running six months later. That second category is where Synapx works.

Our practice is built on three stacks, chosen deliberately. Microsoft Copilot, because for most organisations the fastest AI value sits inside the tools people already use every day. Azure AI Foundry with Azure OpenAI models, for bespoke AI products and services that need enterprise controls, private networking and evaluation built in from the start. And Anthropic's Claude, where we are a registered partner building agentic systems on models that excel at complex, multi-step reasoning and tool use.

The distinctive part of the offering is agentic development: systems where AI agents plan work, call tools, check their own output and hand off to people or to other agents, with humans approving the steps that matter. We have multi-agent programmes in flight right now for clients in financial services, insurance and retail.

We are just as deliberate about what happens before and after the build. Before: use-case identification workshops that score candidate ideas on value, feasibility and risk, so you fund the three that matter rather than the thirty that don't. After: evaluation, monitoring and governance that keep an agent honest once real customers and real data arrive. Nothing ships without a human-in-the-loop design and an owner who can switch it off.

And because the biggest constraint in AI right now is skills rather than software, we train client teams to build this way themselves: agentic development upskilling for engineers, Copilot enablement for the wider business, and Microsoft's official Agent in a Day workshops, delivered under our accreditation.

Common challenges we solve

01

Pilots That Never Reach Production

Proofs of concept that impress in a demo but stall at security review, governance and cost, leaving nothing running a year later.

02

No Agreed AI Use Cases

Everyone has ideas, nobody has a scored backlog. Investment scatters across pet projects instead of the use cases with measurable return.

03

Copilot Licences Without Adoption

Microsoft 365 Copilot rolled out, usage flat after week two, and no data grounding or enablement plan in place to change that.

04

Governance Blocking Progress

Risk and legal teams saying no by default, because nobody has given them a framework that lets them say yes safely.

05

A Widening Skills Gap

Engineers who want to build with AI but lack the patterns, guardrails and time, while the backlog of AI requests keeps growing.

Our AI capabilities

  1. Structured discovery that turns a wall of AI ideas into a short, scored backlog with owners and a business case. We assess value, feasibility, data readiness and risk before anyone writes code.

    • Use-case identification and scoring workshops
    • AI readiness and data-grounding assessments
    • Business case development and benefits tracking
    • Build, buy or wait decisions for each candidate use case
    • Enterprise AI roadmap with a funded first quarter
  2. M365 Copilot rolled out with the readiness and enablement that make it stick, and Copilot Studio agents grounded in your data with actions, governance and human escalation designed in.

    • Microsoft 365 Copilot readiness, rollout and adoption
    • Copilot Studio agents grounded in SharePoint, Dataverse and Azure data
    • Declarative agents, plugins and Copilot extensibility
    • Power Automate integration so agents complete real workflows
    • Usage analytics and adoption programmes that stick
  3. Custom agents and multi-agent systems built in code on Azure AI Foundry, Azure OpenAI and Claude, for the workflows that need deep reasoning, custom orchestration and evaluation built in from the start.

    • Multi-agent orchestration: planner, worker and reviewer patterns
    • Foundry Agent Service, LangChain, LangGraph and CrewAI expertise
    • Claude and the Anthropic Agent SDK for complex reasoning and tool use
    • Human-in-the-loop approval steps designed into the workflow
    • In flight today with clients in financial services, insurance and retail
  4. Coding agents are changing how software gets built. We help engineering teams adopt GitHub Copilot, Claude Code and agentic workflows with guardrails, review discipline and measured productivity baselines.

    • AI-assisted engineering: adopting coding agents in the SDLC, safely
    • Agentic development bootcamps for engineering teams
    • Guardrails: review gates, security boundaries and audit trails
    • Leadership sessions on what agents change about operating models
    • Embedded mentoring and pairing inside your delivery teams
  5. We build and deploy ML models that solve real operational and strategic challenges, helping organisations move from reactive reporting to proactive, predictive decision-making.

    • Predictive models for demand, churn, pricing and risk
    • MLOps: versioned pipelines, monitoring and retraining
    • Feature engineering over governed data platforms
    • Model explainability and performance reporting for the business
    • From notebook to production without a rewrite
  6. Trust is essential for AI adoption. We design AI solutions that are transparent, explainable, and governed, so leaders can make confident, ethical decisions. Our AI governance frameworks ensure compliance, mitigate bias, and maintain accountability across all AI initiatives.

    • AI governance frameworks and policy design
    • Model risk assessment and bias mitigation
    • EU AI Act and UK AI principles alignment
    • Auditability: logging, traceability and decision records
    • Standalone governance reviews of existing AI estates
  7. AI only succeeds when it can scale. We design secure AI platforms on Azure that support experimentation, deployment, and ongoing optimisation without creating technical or governance debt.

    • Azure AI Foundry hubs, projects and RBAC design
    • Retrieval over your estate with private endpoints and Entra ID
    • Azure OpenAI model deployment, routing and cost management
    • Evaluation pipelines: golden datasets, regression gates, red teaming
    • Prompt and response logging for audit and improvement
  8. Access senior AI architects, data scientists, and engineers on-demand. Our AI-as-a-Service model gives you the flexibility to accelerate delivery while maintaining control and quality.

    • Fractional senior AI architects and engineers
    • Embedded specialists inside your delivery teams
    • Project-based delivery with outcome-focused scope
    • Fully managed AI services with knowledge transfer
    • Named people whose CVs you review up front

Build Routes

Four ways to ship AI, and when each is right

One of the most expensive mistakes in enterprise AI is building a custom platform for a problem Copilot already solves. The second most expensive is squeezing a complex agentic workflow into a chatbot builder. Route choice comes first; everything else follows from it.

This is how we frame the decision with clients. Most organisations end up running two or three routes side by side, and that is fine: they share the same data grounding and the same governance.

Four ways to ship AI, and when each is right
Criteria Microsoft 365 Copilot Copilot Studio agents Azure AI Foundry Pro-code agents (e.g. Langchain, Foundry Agent Service)
What it is Microsoft's assistant across Word, Excel, Teams and OutlookLow-code agents built on your data, with actionsCustom AI applications and RAG services with full engineering controlMulti-agent systems built in code on Claude or Azure OpenAI
Best for Broad productivity for every employeeDepartmental Q&A and process agentsAI features inside your own products and servicesComplex multi-step workflows with tool use and judgement
Data grounding Microsoft Graph: your tenant content, out of the boxSharePoint, Dataverse and hundreds of connectorsAnything you can index: APIs, databases, documentsAnything, with the agent deciding what to fetch and when
Customisation Configuration and extensibility, not codeLow-code, with pro-code escape hatchesFull control of models, prompts and pipelinesFull control of reasoning loops, tools and orchestration
Governance surface The Microsoft 365 compliance boundary and PurviewEnvironment strategy, DLP and Copilot Studio governancePrivate networking, Entra ID and evaluation gatesEverything Foundry has, plus agent-level tracing and approvals
Cost shape Per-user licencePer-user or per-sessionConsumption: tokens plus infrastructureConsumption plus engineering time
Time to value Days to weeksWeeksWeeks to monthsMonths, for problems worth months

If a problem can be solved with a licence and good adoption, we will tell you so before we quote for a build. The first two routes are our Microsoft Copilot practice; the second two are our AI agents and multi-agent systems practice, where we bring the patterns, the evaluation harness and the governance so the build survives production. Route selection is the first artefact of every AI strategy engagement.

Agentic upskilling and training

Agent in a Day, the official Microsoft workshop

A hands-on day delivered under our Microsoft accreditation, where your teams build working agents in Copilot Studio against real scenarios. The fastest way to make agents concrete for a mixed audience.

Agentic engineering bootcamps

Two to five days for software engineers: reasoning loops, tool design, evaluation, tracing and guardrails. Teams leave with a working agent in your environment, not a certificate of attendance.

AI-assisted engineering enablement

Coding agents are changing how software gets built. We help engineering organisations adopt them with review discipline, security boundaries and measurable productivity baselines.

Leadership and operating model sessions

Half-day briefings for executives on what agents actually change: the economics, the risks, the staffing model and the decisions only leadership can make.

Embedded mentoring

Our engineers pair inside your teams on your first production agent, then step back. Capability transfer is the deliverable, and we put it in the statement of work.

Copilot enablement for the wider business

Role-based Copilot training beyond IT: prompts that work, data hygiene, and the habits that separate licence holders from power users.

Multi-agent programmes in flight today

Financial services

Multi-agent systems in delivery for financial services clients, with human approval gates around every consequential action and full decision traceability.

Insurance

Agentic programmes in build for insurance clients, grounded in governed data and evaluated against expert-reviewed baselines before anything reaches customers.

Retail

Agentic development underway with retail clients, taken from a scored use-case backlog through to production engineering with our upskilling running alongside.

Our AI delivery approach

Responsible. Scalable. Outcome-driven.

  1. AI Readiness Assessment

    Evaluate strategy, data readiness for AI, risk, and governance.

  2. AI Discovery & Use Case Definition

    Identify high-impact, feasible AI opportunities.

  3. Leadership & Ethics Workshop

    Align leadership and establish responsible AI principles.

  4. Proof of Value

    Rapid prototyping to validate business impact.

  5. AI Implementation

    Build, integrate, and deploy enterprise AI solutions.

  6. Governance & Oversight

    Establish controls, monitoring, and accountability.

  7. Enablement & Adoption

    Upskill teams and embed AI into everyday operations.

XIAD Workshops

Synapx is proud to host Microsoft Agent in a Day and Chat with Your Data in a Day workshops on behalf of Microsoft, enabling organisations to accelerate their data, analytics, and AI capabilities through Copilot-powered experiences.

Agent in a Day Chat with Your Data in a Day Real Time Intelligence in a Day
Learn More
Client Voices

From our clients

"Not an external supplier, an extension of our team."

"Working with Synapx has been transformative for Mount Anvil. They didn't feel like an external supplier; they became an extension of our team. Their technical expertise in implementing Microsoft Fabric solved our immediate challenges and positioned us for future growth, including AI and machine learning. What truly set Synapx apart was their transparency, commitment, and cost-optimisation through Xscale, making Fabric financially sustainable."

Mount Anvil

Head of Technology Applications, Mount Anvil

AI Solutions FAQ

Common questions about how Synapx delivers Copilot, agentic development and responsible AI at scale.

What is your relationship with Anthropic?

Synapx is a registered Anthropic partner. In practice that means we build production agentic systems on Claude, including with the Anthropic Agent SDK, alongside our Microsoft work on Copilot and Azure OpenAI. We choose the model per workload, not per allegiance.

What does agentic development actually involve?

Designing systems where an AI agent plans a task, calls tools and APIs, checks its own output and escalates to a human at defined points. We build the orchestration, the tool layer, the evaluation harness and the guardrails, then run the system in production. It suits multi-step, document-heavy or investigation-style work where a single prompt cannot cope.

Can you train our engineers to build agents themselves?

Yes, and we would encourage you to demand this of any AI partner. Our agentic upskilling covers engineering bootcamps, official Microsoft Agent in a Day workshops, AI-assisted engineering adoption and embedded mentoring, all designed so your second agent gets built without us.

How is Synapx qualified to deliver AI?

We are a Microsoft Solutions Partner for Data & AI (Azure) with 3 Microsoft MVPs on staff and 150+ Microsoft certifications, and we publish a weekly Data & AI newsletter with 6k+ readers. Our AI delivery experience spans insurance, construction, financial services, and public sector.

Do you build custom AI agents with Copilot Studio?

Yes. We design and deliver agentic AI solutions using Microsoft Copilot Studio, grounding them on your Microsoft 365, SharePoint, Dataverse, and Azure data, and integrating with Power Automate for action-taking workflows.

How do you handle AI governance and responsible AI?

Every engagement is scoped against our AI Governance framework covering model risk, data privacy, auditability, human-in-the-loop controls, and alignment with the EU AI Act and UK AI regulatory principles. We also deliver standalone AI Governance engagements for clients with existing AI estates.

How long does an AI engagement take?

AI Readiness Assessments run 2–4 weeks. Proof-of-concept agents or ML models typically deliver in 4–8 weeks. Production AI products including MLOps and governance usually run 3–6 months.

Is Synapx a Microsoft Fabric partner?

Yes. Synapx is a Fabric Featured Partner, Fabric Databases Featured Partner, and Real-Time Intelligence Featured Partner, one of roughly 30 partners globally holding all three Fabric designations. We also hold the Microsoft Solutions Partner designation for Data & AI (Azure).

Our Credibility
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Fully Featured Fabric Partner

One of just 30 partners worldwide, out of 400,000+ Microsoft Partners, holding all 3 Fabric designations

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Microsoft MVPs

Recognised by Microsoft

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Microsoft Certifications

Across Azure, Fabric & Power Platform

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Our Clients

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Glassmoon
Lanware
Micheldever Tyre Services
Midwich
Mount Anvil
Nuevo Partners
Pro Global
Seras Energy
Skanska
Ocean Conservation Trust
WA Comms
Glassmoon
Lanware
Micheldever Tyre Services
Midwich
Mount Anvil
Nuevo Partners
Pro Global
Seras Energy
Skanska
Ocean Conservation Trust
WA Comms

Speak to an AI Expert

Start with the use cases worth funding, a Copilot rollout that sticks, or your first production agent. We will help you pick the right first move.

Speak to an AI Expert