Applied AI for Real Operations
We redesign and deploy the workflows businesses run on. Forward-deployed pods take consequential operational problems from business case to production, then build the capability to scale. Model-independent, deeply capable on Claude. Based in London, serving UK, Europe & US.
How We Deliver
Forward-deployed pods, not project teams
A small pod embeds with your team, owns one consequential workflow at a time, and is measured on the outcome, not on billable hours.
Deployment Strategy
A Deployment Strategist owns the workflow: economics, requirements, stakeholder alignment, adoption and the business case. Measured on customer P&L outcomes.
Forward-Deployed Engineering
Forward Deployed Engineers own the technical reality: integrations, AI/workflow architecture, and shipping the workflow into production inside your environment.
Nugawi Foundation
Reusable infrastructure that accumulates across deployments, integrations, context, evals, governance, so each subsequent workflow is faster and better governed than the last.
Capability Transfer
The end state is you running and building on it, not a permanent consulting relationship. We train champions, hand over the keys, and stay only as long as we compound.
What We Deploy
Consequential operational workflows
Work crosses organisational boundaries, so do we. We deploy end-to-end workflows, not departmental tools.
Intake, fulfilment, invoicing, settlement and dunning, one workflow across sales, operations, finance and your banking.
Supplier intake, invoice processing, approvals and payment, with the audit trail your auditors actually want.
Freight operations, customer communication, invoicing and accounting unified into one system of execution.
Contracts, invoices, applications and exceptions extracted, classified, routed and decided, not just read.
Customer requests authenticated and actioned end to end, escalated to humans only when judgment is needed.
Purpose-built workspaces where humans, agents, deterministic automation and enterprise systems perform the workflow together.
Where we're strongest
Operationally complex workflows, messy real systems
Cross-industry capability, focused proof
We don't claim simultaneous depth in every vertical. Our capability is cross-industry; our proof is strongest where operational complexity is highest, logistics, property and public services, and document-heavy finance-adjacent processes.
Complex European mid-market and enterprise business units, where AI must integrate into messy real systems and produce a measurable financial outcome. UK and Spain first, Europe opportunistically.
Logistics & freight operations
Shipment-to-settlement deployments that unify operations, customers, invoicing, accounting and management information, our FreightPulse work is the model.
Property, housing & public services
Application-to-resolution for document-heavy processes with high volumes and real regulatory consequence. Our housing Agentic Operating System and Factoría SIG are the proof.
Finance-adjacent operations
Order-to-cash and procure-to-pay workflows spanning sales, operations, finance and banking, where the money actually moves.
Document-intensive operations
Document-to-decision pipelines: extraction, classification, routing and human-in-the-loop decisions with full audit trails.
Who we're for
Wonderful's operating model at boutique economics
Forward-deployed pods, a reusable Foundation that compounds delivery speed, and a business model where we win only when the workflow actually changes. Not decks. Not pilots. Production.
For whom Big 4 or a platform giant is economically absurd
We serve complex European mid-market companies and enterprise business units, engagements where a €500K strategy phase or a global platform contract can never pay back.
For whom going direct to the labs will not work
The professional-services arms of the frontier labs are built for eight-figure, US-centric programmes. As an Anthropic partner we bring the same frontier-model expertise with European regulatory know-how and local languages.
For whom DIY pilots keep dying in the lab
If your last three AI pilots never reached production, the problem is not the model. It is that nobody owned the workflow, the systems integration or the economics. That is precisely our job.
How engagements run
From Blueprint to Transformation Partnership
Pricing that follows the work
Engagements are priced per deployment, agreed up front, with measurable outcome milestones. No €7.5k menu, no 15-25% savings-share ambiguity, clean commercial alignment between what we deploy and what you gain.
Every engagement answers three questions: what workflow are we changing, what measurable outcome moves, and what reusable capability is left behind.
Deployment Blueprint
Find one high-value workflow, baseline its economics, architecture and transformation sequence. The output is a deployable plan, not a strategy deck.
Lighthouse Deployment
Put the first consequential workflow into production, fast, integrated, measured. Value proven in your real systems before anything scales.
Transformation Partnership
A dedicated pod continuously moves through your workflow roadmap. Land, deploy, expand, the recurring relationship where compounding happens.
Capability Transfer
You gradually own operation, development and governance. We hand over the keys, train champions, and exit the critical path by design.
From Production
Deployed, not promised
Named production deployments, with client permission. Operational scale, timeframe and iteration story, not anonymised aggregates.
Shipment-to-settlement: freight operations, customer communication, invoicing, Sage, banking and management information unified into one AI-native operational application.
Application-to-resolution for housing processes, document-heavy, high-volume, regulatory-consequence workflows deployed end to end.
Document-intensive operations automated end to end: extraction, classification, routing and human-in-the-loop decisioning with audit trails.
Real estate (40% cost reduction, ROI in 12 weeks), supply chain (70% data-entry reduction, €2.1M annual savings) and debt collection (75% voicemail-time reduction).
How a deployment runs
The same arc every time: baseline the economics, prove it in production, expand to the next workflow.
1. Baseline the workflow
Map the real workflow, people, systems, edge cases, unit economics, and agree the measurable outcome that defines success.
2. Deploy to production
The pod embeds and ships the first consequential workflow into your real systems, integrated, governed, measured.
3. Prove the outcome
Report against the baseline: cycle time, throughput, cost per transaction, exception rates. Production metrics, not demo metrics.
4. Expand & transfer
Move to the next workflow on the roadmap while transferring capability to your team, each deployment faster because the last one left assets behind.
How We Build
Model-independent. Deeply capable on Claude.
The right model for each workload, portable architectures, no lock-in. As an Anthropic partner we bring deep Claude expertise, as an accelerator, not an ideology.
We benchmark and route to the best model for each workload, and architect so you can change models as the frontier moves. Your optionality is our constraint.
Anthropic partner with Claude Certified Architects. Claude Agent SDK, MCP, and private deployment on Amazon Bedrock with full data sovereignty for regulated industries.
Sage, banking, ERP, CRM, email, documents, the pod integrates AI into the systems the workflow already runs on. The work lands where the work happens.
Identity and permissions, integrations, context, agent runtime, human approval, evals, audit, observability, model routing, cost tracking, the reusable layer that compounds.
Human oversight, escalation paths, evaluation and monitoring of agents in production, and EU AI Act documentation, part of delivery, not a separate workstream.
Agents, workflows and governance configurations are yours. Portability provisions are written into the engagement, leaving should be easy, and that is deliberate.
From Production
Named deployments, measured outcomes
Not anonymised aggregates, real operational workflows, shipped to production, with the numbers attached.
Supply Chain & Logistics
Global supply chain provider, field ops on AI rails
OCR part-scanning mobile app, real-time Salesforce sync, and UPS / DHL / FedEx carrier integrations, one interface for the full part lifecycle.
Public Housing / Real Estate
Public housing operator, three workflows, one quarter ROI
AI-automated key recovery, email-driven document collection and intelligent debt-invoice handling across a public housing portfolio.
FAQ
Frequently Asked Questions
What Nugawi does, how forward-deployed pods work, and how we're different from an AI consultancy.
What does Nugawi do?
Nugawi is an applied AI deployment company. We redesign and deploy the operational workflows businesses run on, order-to-cash, procure-to-pay, shipment-to-settlement, document-to-decision. Forward-deployed pods take one consequential workflow at a time from business case to production, then build the client capability to scale. The unit of delivery is the operational outcome, not the technology.
What is a forward-deployed pod?
A small team pairing a Deployment Strategist (owns the workflow, economics, adoption and client outcome, measured on customer P&L) with Forward Deployed Engineers (own technical discovery, integrations, architecture and production deployment). The pod embeds with your team, ships the first workflow to production, then transfers capability so you increasingly operate and build on it yourself.
How is this different from an AI consultancy?
Consultancies sell advice and decks; we sell deployed production outcomes. We organise work around workflows that cross organisational boundaries, not departments, not tools. Every engagement must answer: what workflow are we changing, what measurable outcome moves, and what reusable capability is left behind. If it can’t answer the first two, we don’t take it.
Which AI models and technology do you use?
We are model-independent: the right model for each workload, portable architectures, no lock-in. We are deeply capable on Claude, an Anthropic partner with Claude Certified Architects, including private deployment on Amazon Bedrock for regulated industries. We use MCP for tool integration and AWS for infrastructure, and every deployment leaves reusable components behind.
How do you handle governance and EU AI Act compliance?
Governance is part of delivery, not a separate workstream: deployment architecture and data ownership documented per engagement, human oversight and escalation built in, agents evaluated and monitored in production, with exit and portability provisions. EU AI Act risk assessment, documentation and audit readiness are integrated from day one.
Where do you work and in which languages?
We are based in London (Twickenham) and serve clients across the UK, Europe and the US, delivering in English, Spanish and Catalan.
Production footprint
What workflow is costing you?
Tell us the operational workflow that's slow, manual or leaking money. We'll map the deployment path and the economics, no deck required.
Get in touch with Nugawi
Tell us about the operational workflow you want to change. We'll respond with a view on feasibility, economics and a deployment path.