Every service we offer,
mapped to where you are.
Dwayo covers five stages of a production AI system: strategy, build, integration, operation, and governance. Find your stage below, or use the comparison table to find the right starting service.
Before you
commit budget.
Figure out what's worth building, and what it's worth, before a line of code is written.
Use-case portfolio, data readiness, build-vs-buy, and an ROI-grounded execution roadmap.
A fixed-scope, one-week stack and data audit that ends with a practical go or no-go roadmap.
Tested against real data, with acceptance criteria agreed before we build — an honest go or no-go either way.
Production systems,
not demos.
LLM applications, agents, retrieval, voice, and vision — built with evals and guardrails from day one.
LLM apps, agents, RAG systems, and fine-tuned models, integrated into your existing stack.
Production LLM agents for support, recruiting, and procurement — guardrails and human escalation built in.
LLM apps, RAG, copilots, agents, and document systems — evaluated before launch, not after.
Support, helpdesk, and sales chatbots connected to the CRM and knowledge base you already run.
Copilots built around one role and one measurable workflow — the user stays in control.
Orchestrated agent systems, built only where a single agent genuinely is not enough.
Retrieval-augmented generation with retrieval evaluation built in, not just a vector database and a prayer.
Classification, OCR, and extraction with confidence thresholds and human review built in.
Production voice systems for real customer calls — intent detection, escalation, and transcript controls.
Computer vision tested on real field conditions, not just a lab dataset, including edge deployment.
Predictive models, recommendations, and forecasting validated on real operating conditions.
Into the stack
you already run.
AI added to existing systems, not a platform migration you have to justify first.
Reliable in production,
not just in the demo.
Keeping AI systems observable, cost-controlled, and stable after launch day.
Pipelines, monitoring, CI/CD, and cost control that keep AI systems reliable at scale.
Prompt versioning, evaluations, trace observability, and cost control for LLMs and agents specifically.
Golden datasets, tool-call validation, and regression gates wired into your release process.
Documented and tested,
not a policy slide.
Compliance readiness built as evidence — risk classification, control mapping, and audit-ready documentation.
Inventory, risk classification, and evidence mapped to the frameworks that apply to you.
Risk classification, model cards, bias testing, and human-oversight design for UK and EU teams.
AI systems built with data residency, deletion pipelines, and lawful-basis design from the start.
AI systems built to HIPAA Security Rule safeguards for teams handling protected health information.
AI systems mapped to SOC 2 Trust Service Criteria so procurement review doesn't stall the deal.
Match your question
to a service.
The five questions we hear most from buyers, and the service that actually answers each one.
| If you're trying to… | Start here |
|---|---|
| Figure out if AI is even worth it for your business | AI Readiness Assessment |
| Build a strategy and roadmap before committing budget | AI Consulting |
| Test one specific use case against real data before committing to a full build | AI PoC & MVP |
| Ship an AI feature inside a product or internal tool you already run | Custom AI Development |
| Automate a workflow that currently needs a human to decide and act | AI Agent Development |
| Answer questions, retrieve, or hold a conversation over a knowledge base | AI Chatbot Development |
| Pull structured data out of invoices, contracts, or loan documents | Document AI |
| Answer questions from your own documents, policies, or knowledge base | RAG Development |
| Add AI to a system you already have (CRM, support desk, product) | AI Integration |
| Prove an agent won't do the wrong thing before it ships | AI Agent Testing & Evaluation |
| Keep an AI system reliable and cost-controlled after launch | MLOps / LLMOps & AgentOps |
| Pass a compliance or procurement review before signing | AI Governance → EU AI Act / GDPR / HIPAA / SOC 2 |
Still not sure
which one fits?
Book a 30-minute call and tell us what you're trying to build — we'll point you at the right service, honestly, even if that's a smaller engagement than you expected.