Service · 01
AI Services
AI that feels natural to use — in production.
People do not want another tool to learn. They want an experience they can consume without friction — support that answers on WhatsApp, copilots that fit the job, flows that finish the work. We design that layer on your stack (CRM, ERP, WhatsApp), with RAG over your data, and when privacy or cost demand it, SLMs in your VPC / on-prem. Measurable outcomes, not shelfware.
What we do
- Experiences people actually useTrending
- AI agents & automationTrending
- RAG over your dataTrending
- SLMs & private / on-prem AITrending
- Voice & multimodal AITrending
- Custom copilots & chatbots
- LLM integrations & APIs
- Evals, guardrails & monitoring
What you get
- Discovery & use-case scoping
- A working prototype in weeks, not months
- Integration with your stack (CRM, ERP, data)
- Guardrails, evaluations & monitoring
- Deployment and team enablement
How we work
A clear process, no surprises
We start from how people consume the product today — then build what fits, with weekly demos.
Discovery
We map how teams and customers consume the work today: friction, channels, and the KPI that matters — before picking tools.
UX & Design
We prototype the consumption experience and define the architecture before writing a line of production code.
Build
Short sprints with demonstrable deliveries every week. You see progress, not a report.
Evolve
We launch, measure real usage, and improve. We stay after go-live — the experience keeps getting easier to consume.
Related work
A few projects where this came to life.
Retail · LATAM
AI Support Agent
PropTech · USA
Mirabilis AI Match
PropTech · Finance · USA
Mirabilis AI Finance
Related articles
Guides and insights on this service.
AI agents for customer support: ROI framework for mid-market teams
A practical ROI framework for AI support agents — what to measure, how to estimate savings, and how mid-market US and UK teams get to production without a year-long pilot.
Read articleSmall language model vs LLM: when private AI makes sense
An SLM is not “a cheaper ChatGPT” and it is not the same as an agent. It is a compact model, fine-tuned or deployed inside your perimeter, for focused tasks when data cannot leave.
Read articleService as a Software vs SaaS: we adapt to your flows — not the reverse
SaaS asks you to change how you work. Service as a Software is the opposite: software and agents built around your flow. That is how we work at DIPA.
Read articleFrequently asked
- Do we need a huge dataset to start?
- No. Most of the value comes from connecting AI to the data and tools you already have. We start with one high-impact use case and a prototype.
- Is our data safe?
- Yes. We design privacy-first — your data stays in your environment, with access controls and clear boundaries on what models can see.
- How fast can we see results?
- Typically a working prototype in 2–4 weeks, then we iterate toward production.
- Is an AI agent the same as a chatbot?
- No. A traditional chatbot follows scripted flows. An AI agent reasons over your data, makes decisions and executes real tasks across your tools — answering, updating records or escalating on its own, with guardrails.
- Can the agent connect to our CRM and WhatsApp?
- Yes. We integrate agents with the tools you already use — CRM and ERP (Salesforce, HubSpot and more), WhatsApp, email and internal APIs — so the agent works inside your existing operation, not as a separate silo.
- What is an SLM, and is it the same as an AI agent?
- No. An AI agent is the product layer: it reasons, calls tools, and completes workflows (often on a cloud LLM). An SLM (small language model) is a compact model you fine-tune or run in your VPC / on-prem for a focused task — classification, extraction, scoring, PII-safe inference — when data must stay inside your perimeter or cloud token cost does not make sense. We help you choose agent, SLM, or both.
- How is DIPA different from buying another SaaS?
- A SaaS asks your team to adapt to the product. We design the consumption experience around how you and your customers already work — custom software, agents on your stack, and private models when needed — so people use it without a training marathon. Adoption is part of the design, not an afterthought.
Dedicated teams per client — to deliver on time and with quality.
Let's talk
Let's work together so we can help you reach new heights.
Tell us what you need. In a first call we understand the context and tell you honestly whether and how we can help.