We help organisations layer AI and automation on top of the M365 infrastructure they already have — reducing manual work, accelerating Copilot adoption, and building for what's next.
We help organisations get more from the infrastructure they have already built — layering AI, Copilot, and automation on top of M365 environments that are already in place.
20 years of EUC depth — from SCCM migrations to Intune-first endpoint management and Entra ID identity strategy.
Practical Copilot adoption from someone who uses it daily in enterprise environments — real-world guidance, not vendor slides.
Independent AI platform expertise across Claude, ChatGPT and Azure OpenAI — we recommend what fits your environment, not what is easiest to sell.
Identify and eliminate the repetitive manual tasks that consume your IT team's time — using the Microsoft tools you are already paying for.
Independent advice across the leading AI platforms — we recommend what is right for your environment, not what is easiest to sell.
Copilot licences are active. M365 is deployed. But the manual workload has not changed. The gap is not the technology — it is knowing how to configure, govern, and actually adopt it.
Internal teams explore Claude through prompts and one-off experiments. But without agentic architecture, MCP integration, proper governance frameworks, and enterprise deployment patterns, the value stays locked in sandboxes — impressive demos that never reach the people who need them most.
Fynaptix designs and builds the complete Claude AI layer your organisation will run on — from agentic workflows and RAG systems to CoWork deployment and AI governance frameworks. Every engagement delivers working infrastructure, not slide decks.
A structured three-stage methodology that takes you from AI readiness to production deployment — with governance built in from the start.
We audit your current AI maturity, identify high-value Claude use cases, and produce a prioritised build roadmap — including a build-vs-buy recommendation matrix and compliance alignment against your industry's requirements.
Discovery EngagementWe design and build your Claude AI layer — agentic workflows, RAG systems, MCP integrations, CoWork deployment, and custom tooling — using patterns proven in production enterprise environments.
Production BuildWe stand up the observability, governance, and enablement layer that keeps your Claude systems reliable and your teams productive long after the build is complete.
AIOps & TrainingThree practice areas. Seventeen services. Everything your organisation needs to design, build, and operationalise production Claude AI.
A structured discovery engagement that audits your current AI maturity, identifies high-value use cases, and produces a prioritised roadmap — with a build-vs-buy recommendation matrix and compliance alignment against your industry's regulatory requirements.
Design and build production-grade agentic systems that handle document processing, customer onboarding, approval workflows, research pipelines, and more — with orchestration architecture, failure handling, and cost controls built for reliability at enterprise scale.
Full-stack integration of the Claude API into your existing systems — covering model selection, prompt versioning, streaming, cost optimisation, and deployment patterns on AWS Bedrock, Azure, or GCP. Built for production, not demos.
Design and deploy Retrieval-Augmented Generation solutions that ground Claude in your internal knowledge — policy libraries, product documentation, compliance frameworks, or proprietary data — with vector database selection, chunking strategy, and retrieval evaluation.
Architect systems where multiple Claude agents collaborate — one researches, one drafts, one reviews, one routes — handling tasks of genuine complexity, with independent review instance design, multi-pass analysis patterns, and observability for production oversight.
Build custom Model Context Protocol servers that give Claude read/write access to your CRMs, ERPs, ITSM platforms (ServiceNow, Jira), internal databases, and proprietary APIs — production-grade, reusable connectors built on the emerging universal standard for AI-to-tool connectivity.
Systematic prompt library development covering structured JSON outputs, classification pipelines, document extraction, and summarisation workflows — with evaluation frameworks and regression testing so your outputs remain reliable across model updates.
End-to-end deployment of Claude CoWork at enterprise scale — including role-based access controls, group spend limits, per-tool connector controls, and usage analytics configuration. Takes the governance burden off your IT team so knowledge workers can start on day one.
Configure Single Sign-On through Okta, Azure Active Directory, Google Workspace, or SAML 2.0, and implement SCIM for automatic user provisioning and deprovisioning — so access is managed automatically through your existing identity infrastructure.
Design and build a private CoWork plugin marketplace tailored to your business units. Plugins bundle tools, institutional knowledge, and workflow logic into a single install — so every team gets a Claude that already knows how they work.
Map and configure CoWork connectors to the platforms your teams already use — Google Workspace, Microsoft 365, Slack, DocuSign, Salesforce, FactSet, and more — with the right permissions and access controls for each department.
Design and configure scheduled CoWork automations — weekly report generation, email triage, metrics pulls, Slack digests, document summaries — defined once and handled by Claude on a recurring cadence, freeing your knowledge workers to focus on the work that actually matters.
For enterprises in regulated industries or with data sovereignty requirements, architect a self-hosted inference gateway so CoWork routes every request through infrastructure you control — compatible with Amazon Bedrock and any Messages API-compatible endpoint.
Design the onboarding experience that turns CoWork from a tool people signed up for into one they can't work without — including team-specific welcome artifacts, example prompt libraries, department-level training, and a 90-day adoption programme with usage analytics milestones.
Covers Constitutional AI principles, safe system prompt design, refusal handling, red-teaming, and deployment patterns for regulated industries — finance, healthcare, legal, and government. Produces governance documentation suitable for auditors and risk committees.
Build the observability layer around your Claude deployments — OpenTelemetry integration, logging pipelines, output quality scoring, anomaly detection, and executive cost dashboards. Claude in production needs ongoing reliability assurance, not just initial deployment.
Structured training programmes for every level — from non-technical staff getting productive with Claude faster, to developer teams mastering API patterns, MCP integration, and agentic design. Delivered as workshops, cohort programmes, or on-demand resources built for your organisation.
Time-boxed 4–8 week engagements that turn a specific enterprise use case into a working, documented prototype — with architecture decisions, cost projections, and a scaling roadmap. The lowest-risk entry point to meaningful AI adoption, and the fastest path to internal executive buy-in.
Every engagement delivers working Claude infrastructure — deployed, documented, and built to last.
Anthropic AI Fluency certified practitioners with hands-on experience building production Claude systems — agentic workflows, MCP servers, CoWork deployments, and RAG architectures at enterprise scale.
Production-grade systems delivered — not recommendations. Every engagement ends with working infrastructure your team can operate and extend.
From API integration and prompt engineering through to agentic orchestration, MCP server development, CoWork deployment, and AI governance — the complete Claude stack, under one roof.
Safety, compliance, and responsible deployment aren't afterthoughts. Every system we build includes the governance layer your CIO, legal team, and risk committee expect.
Technical build is only half the job. We design the onboarding and change management that turns Claude from a tool people signed up for into one they can't work without.
All engagements are delivered by people who build and run production AI systems daily — not generalist consultants reading the same playbook everyone else is using.
Production Claude systems across industries — from agentic document processing to enterprise-wide CoWork deployment.
Multi-agent Claude systems that handle KYC document review, compliance checklist automation, policy Q&A, and regulatory reporting — reducing analyst time on low-value document work by 70%+.
RAG systems grounded in your firm's precedents, contracts, and playbooks — giving every fee earner instant access to institutional knowledge without the search overhead.
End-to-end Claude CoWork rollout — SSO integration, role-based access, private plugin marketplace, and a 90-day adoption programme that drives real utilisation across every business unit.
RAG architectures grounded in clinical protocols, formulary data, and compliance frameworks — giving clinicians and administrators accurate, auditable AI-assisted answers at the point of need.
Full-stack Claude API integration into your product — model selection, streaming, prompt versioning, cost controls, and deployment on AWS Bedrock, Azure, or GCP. Built for production, not demos.
Custom MCP servers connecting Claude to your CRMs, ERPs, ITSM platforms, and internal databases — so your teams can query, update, and act on enterprise systems through natural language.
Whether you're starting with an AI strategy assessment, deploying CoWork, or building a production agentic system — Fynaptix has a path for you.