Services
From “should we do this?” to a system in production.
Every engagement starts with the same question — is this worth building? The assessment answers it in about ten minutes, for free, and the services below take it from there.
AI Strategy & Assessment
Find out what is worth building before you build it.
A structured discovery of where AI actually pays back in your operation, scored for feasibility and data readiness, with an architecture and a costed delivery plan you can take to a board.
- AI opportunity roadmap ranked by impact and effort
- Use-case discovery workshops with the teams who do the work
- Feasibility and data-readiness scoring with the factors behind each number
Typically 2–4 weeks · Fixed fee, or free automated assessment to start
AI Integration
Connect AI to the systems you already run.
Most AI value is unlocked by wiring a model into an existing workflow, not by replacing it. We integrate with your ERP, CRM, databases, APIs and internal tools, with the auth, rate limits and retry semantics that production actually needs.
- Connectors for ERP, CRM, ticketing, data warehouse and internal APIs
- Bi-directional sync with conflict handling
- Event-driven triggers and scheduled batch flows
Typically 4–8 weeks · Fixed scope per integration
AI Product Development
Ship an AI product, not a prototype.
End-to-end build of AI SaaS, copilots, customer portals and internal applications — with multi-tenancy, evaluation and cost metering designed in from the start rather than retrofitted after launch.
- Product and UX design for AI-native workflows
- Multi-tenant application with row-level isolation
- Model gateway with routing, fallback and per-request cost tracking
Typically 10–20 weeks · Milestone-based delivery
Web & Mobile AI Apps
Chat, search, recommendations and assistants your users will actually use.
Customer-facing AI features built into web and mobile products: grounded chat, semantic search, recommendations, vision and speech — with the latency and fallback behaviour that consumer traffic demands.
- Grounded chat and semantic search over your content
- Recommendation and personalisation services
- Vision and speech features
Typically 6–12 weeks · Fixed scope or dedicated squad
Enterprise AI Software
Secure, multi-user AI applications with the controls audit will ask for.
Internal AI platforms for regulated and security-conscious organisations: SSO, role-based access, tenant isolation, full audit trails and human-in-the-loop approval on anything consequential.
- Role-based access control mapped to your org structure
- SSO/SAML and MFA integration
- Complete audit trail of actor, action, object and outcome
Typically 12–24 weeks · Enterprise agreement
Generative AI / LLM
RAG, agents, copilots and fine-tuning — chosen on evidence.
The full generative stack: retrieval over your own documents, tool-using agents, copilots embedded in existing workflows, prompt systems and fine-tuning where it genuinely beats retrieval.
- Retrieval-augmented generation with citation and grounding checks
- Tool-using agents with server-side permission enforcement
- Prompt systems versioned like code
Typically 6–16 weeks · Fixed scope or squad
Computer Vision
Detection, document vision and quality analytics.
Vision systems for physical and document workflows: defect and safety detection, OCR and document understanding, and analytics over image and video streams.
- Object, defect and safety detection models
- OCR and document understanding for scanned material
- Video analytics pipelines
Typically 8–16 weeks · Fixed scope, pilot then rollout
Predictive AI
Forecasting, scoring and anomaly detection.
Classical machine learning where it beats a language model: demand and capacity forecasting, risk and propensity scoring, anomaly and fraud detection, and recommendation engines.
- Demand, capacity and revenue forecasting
- Risk, credit and propensity scoring
- Anomaly and fraud detection
Typically 8–14 weeks · Fixed scope
MLOps / AI Infrastructure
GPU hosting, model serving and the operations around them.
Run models on Webyne GPU infrastructure with the serving, scaling, monitoring and cost control that production requires — or let us operate it for you.
- Dedicated and shared GPU inference pools
- vLLM / Triton model serving with autoscaling
- Endpoint management with TLS, quotas and rate limits
Typically 2–6 weeks to stand up · Monthly managed service
AI Training & Support
Capability transfer and an SLA you can rely on.
Training for the teams who will own the system, plus managed operations and support with defined response and resolution targets.
- Role-based training for engineers, analysts and end users
- Prompt and evaluation practice workshops
- Runbooks and incident procedures
Typically Ongoing · Monthly retainer by support tier
Virtual CTO / AI Advisory
Senior architecture and governance without a permanent hire.
Fractional senior technical leadership: architecture review, AI governance, build-versus-buy decisions, vendor assessment and a technology roadmap your board can follow.
- Architecture and security review
- AI governance framework and acceptable-use policy
- Build-versus-buy and vendor evaluation
Typically Ongoing · Monthly retainer, typically 2–6 days a month
UI/UX for AI Products
Interfaces that make model behaviour legible.
Design for AI-native products and operational dashboards: showing confidence and provenance, handling latency and failure gracefully, and making it obvious when a human needs to intervene.
- Product and workflow design for AI features
- Design system and component library
- Streaming, loading and failure-state patterns
Typically 4–10 weeks · Fixed scope
Not sure which of these you need?
That is what the assessment is for. Answer a short interview and it will tell you which pattern fits, what it costs and how long it takes.