Automating Salesforce write-offs with RPA and Generative AI
UiPath bots plus Azure OpenAI handle a slow finance process end to end, inside Salesforce.
Read case studyFrom assistants that answer from your own documents to automations that take hours of manual work off your team. Built for production, not just a demo.
Data entry, form filling and copy-paste between systems that eat skilled people’s time every month.
Answers live in PDFs, wikis, shared drives and old emails, and people waste hours hunting for them.
A pilot looked impressive, but never became something your team could trust and use every day.
We start from the business problem, then choose the simplest AI approach that solves it reliably.
Chat assistants and knowledge bots that answer from your own documents, PDFs and websites using retrieval-augmented generation (RAG).
RPA bots combined with GenAI to handle end-to-end business processes, including the unstructured steps simple rules can’t.
Add smart search, summaries, recommendations or chat to your existing web or mobile app through secure APIs.
Prediction, classification and recommendation models trained on your data and served in production.
Pipelines, data warehouses and dashboards that turn scattered data into decisions you can act on.
Model selection, prompt engineering and cost-quality tuning, plus a practical roadmap for where AI fits in your business.
We map where AI can save time or money, and rank ideas by value and feasibility.
A quick working prototype, so you see real results before committing to a full build.
Production-grade engineering, connected to the systems and data your team already uses.
We track quality, speed and cost in production, and keep improving as your needs evolve.
Yes. We can build on enterprise AI services such as Azure OpenAI, set up so your data stays within your own cloud account, and we sign an NDA before any access.
Not always. Many generative AI solutions work with the documents and records you already have. We’ll tell you honestly if your data isn’t ready yet.
We start with a prototype on your own data, so you can judge real results early, typically within 2 to 4 weeks.
Whichever fits your needs best on quality, speed, cost and privacy. We’re not tied to a single vendor, and we can switch models later if a better option appears.
Book a free 30-minute call. We’ll look at your processes and suggest where AI would pay off first.