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AI Agents & Automation
- Workflow agents that complete a step, not just answer a question
- Human-in-the-loop approval on high-impact actions
- Tool-calling into your existing systems
We design, build and launch AI for your business: AI agents, chatbots, machine learning and AI features inside the software you already use.
Named production proof across healthcare, HR, and logistics operations: AICO and Workloop.
Agents, ML, chatbots, and integration under one team
No forced rewrite to adopt AI
AICO and Workloop in production
Scoping, building, and shipping AI features, not just a strategy deck. We cover the full range: a standalone AI agent, a machine learning model, a chatbot, or AI integrated into a product you already run.
Already know which AI feature you need? Go straight to the specific page: AI agents, machine learning and AI SaaS development.
Wherever you are in deciding what AI actually means for your product.
You know AI matters but not which feature to build first. We help you find the workflow worth automating before you commit budget.
You already know you need an agent, a model, or a chatbot. We scope and ship it.
Your product is live. We integrate AI without a rewrite — see AI integration for SaaS for the deep dive.
What you get
One team across the AI stack, so you are not stitching together three vendors.
Pick the page that matches what you already know you need, or book a call if you are not sure yet.
Most AI projects stall for the same few reasons.
A strategy firm, a model vendor, and an integration contractor who do not talk to each other. One team ships end to end.
Notebooks and slide decks do not ship. We build the feature as production code from the start.
Generic AI tools do not respect who is allowed to see what. We build AI inside your existing access rules.
Everyone agrees AI matters and nobody agrees what to build first. We help you find the workflow worth automating.
One team across agents, ML, chatbots, and integration, with named production proof, not a portfolio of demos.
AICO and Workloop are named, live production deployments.
Full AI stack under one team: no handoff between a strategy vendor and a build vendor.
Human review built into every high-impact AI action.
Book a call when you want a scoped plan, not a sales pitch.
Tech stack
The tools and platforms behind our work, chosen to fit your project.
Proof
AI shipped into live operations, not a lab environment.
Voice AI for ride scheduling: 75% call handling efficiency, 98% scheduling accuracy.
Read full case study
AI-assisted performance review workflows: 40% productivity gain, 20 hours saved a week.
Read full case studyThe same sequence whether the first build is an agent, a model, or an integration.
We map where AI actually saves time or reduces error, not just where it sounds impressive.
A focused first feature with a clear success measure, not an open-ended platform.
Permissions, audit trails, and human review from day one, not bolted on after.
Prove the first slice, then extend to the next workflow.
Background before you book, or to share with a stakeholder.
Autonomous agents that complete workflow steps.
Custom ML models for prediction and classification.
Add AI to a live SaaS product without a rewrite.
Pre-vetted AI/ML engineers who integrate into your sprint.
Short answers before you book.
The homepage focuses on AI for B2B SaaS platforms, including ASP.NET Zero and ABP.IO. This page covers the full range of AI development: agents, machine learning, chatbots, and integration, for any product or operations team, not only SaaS.
No. SaaS is where we have the deepest production proof, but AI agents, ML models, and chatbots apply to any product or internal operations tool.
That is normal. A scoping call is how we find the workflow with the clearest payoff before you commit budget to a specific build.
Both. We build traditional ML (prediction, classification) and generative AI (LLM integration, RAG, AI copilots), often in the same product.
Tell us what you are trying to automate or build, and we will map the clearest first step on a call.