AI that works inside the software you run.
Forward deployed AI engineers design, build and run assistants, agents and automation inside your product and your operations, measured against one result you agree up front.
Most AI pilots stall between the demo and production. Our forward deployed engineers sit with your team and engineer the part that decides success: data, integration, evaluation and running cost.
What we deliver.
AI assistants and copilots
Chat and search over your data and documents, with sources, permissions and usage tracking.
AI agents
Agents that qualify leads, reply on WhatsApp and email, and move orders and tickets forward, with approvals where they matter.
Document and data automation
Extract data from invoices, POs, forms, EDI files and web pages, check it, and post it into your ERP or CRM.
Generative AI product features
Writing, image generation, recommendations and natural-language reporting for your customers.
Machine learning
Classification, prediction and grading models, from training to the software around them.
Model integration
Commercial models, open models and your own models behind one abstraction layer you control.
Evaluation and guardrails
Real test sets, guardrails and human review steps before and after launch.
Cost and quality monitoring
Per-request cost, latency and quality dashboards so AI stays profitable at scale.
From AI use-case
to production.
Three steps, each with a clear deliverable and a decision point.
AI use-case
We pick one use case with you, check that your data can support it, and agree the number that defines success.
- Use cases ranked by value and feasibility
- Data and systems readiness review
- Success metric and delivery plan
Proof of value
Forward deployed engineers build a working version on your real data and measure it against the agreed number, so you decide on evidence.
- Working solution on your data
- Results measured against the metric
- Production plan, costs and risks
Production and scale
We harden it, connect it to your systems and monitor quality and running cost. Then we take on the next use case.
- Security, access control and audit
- Integration with your ERP, CRM or product
- Quality, usage and cost monitoring
Where AI pays off first.
AI assistants over your data
Ask-your-data chat, internal copilots and document search, answering from your own systems with sources.
AI agents for sales and operations
Qualify inquiries, draft follow-ups, reply on WhatsApp and move orders forward, with people approving what matters.
Document and data automation
Read invoices, purchase orders, forms and web pages, check them and post them into your systems.
AI features inside your product
Generation, recommendations, smart search and natural-language reporting for your customers.
Work behind this service.
Real projects, anonymised under client confidentiality.
AIAIPrice alert: artist sold above estimateAIAIAIAIAIAIQuestions buyers ask.
Where should a business start with AI?
Start with one decision or workflow where people lose the most time, where the data already exists in one system, and where success is easy to count. Our AI use-case step ranks options by value and feasibility in one to two weeks.
What is a forward deployed engineer?
A forward deployed engineer is a WeyBee engineer who works inside your team: in your tools, your stand-ups and close to your users and data. They own delivery end to end and turn real business problems into working software and AI in production.
Do we need our own data scientists?
No. We bring forward deployed AI engineers, data engineers and software engineers who work with your team. Most business AI today is engineering work: data, integration, evaluation and running cost.
Which AI models do you use?
We choose the model for each use case, not the other way round. We work with Anthropic Claude, OpenAI GPT models (directly or through Microsoft Azure), Google Gemini, and open models such as Meta Llama, Mistral, Qwen and DeepSeek, as well as models trained on your own data. Every model sits behind an abstraction layer, so you can switch providers as prices, quality and data rules change, without rewriting the product.
How do you keep AI costs under control?
We log cost for every request from day one, choose the smallest model that meets the quality bar, cache where possible and gate expensive features by plan or role.
Is our data safe?
Your data stays in your cloud or approved providers, with access control, audit logs and no training on your data unless you choose it. Your code and IP remain yours.
Have a complex problem?
Tell us what you're building. We'll reply within one working day.