Artificial Intelligence
AI Solutions, Agents & Chatbots
Practical AI that plugs into your real workflows — not a demo that stays in a slide deck.
Discuss your projectLarge language models are powerful, but on their own they don't know your products, your policies or your customers. The value comes from connecting AI to your data and your processes, with the right guardrails.
We build AI assistants that answer from your own documents, agents that take actions in your systems, and conversational experiences across WhatsApp, web chat and voice. Every solution is scoped around a measurable business task: fewer support tickets, faster screening, quicker answers for your team.
Our AI services
AI Agents & Business Process Automation
Agents that read, decide and act across your systems to automate multi-step work.
Learn moreDocument AI, RAG Assistants & Data Extraction
Assistants that answer from your documents and pipelines that turn PDFs into structured data.
Learn moreVoice AI, Omnichannel Assistants & Digital Humans
Assistants that talk — on the phone, on every chat channel and as lifelike digital humans.
Learn moreSalesforce Agentforce Implementation
AI agents built natively in Salesforce for sales, service and operations.
Learn moreWhat we deliver
RAG knowledge assistants
Assistants that answer questions from your documents, policies and knowledge bases with sources — for employees or customers.
AI agents & orchestration
Agents that look up records, create cases, book appointments or update your CRM, orchestrated across multiple models and tools.
Conversational AI on every channel
Chatbots and virtual agents on WhatsApp, Messenger, web chat and voice, with hand-off to human agents when needed.
AI interview & screening assistants
Structured AI interviews that screen candidates consistently and give recruiters scored, comparable summaries.
Document & data automation
Extract, classify and summarize emails, forms and PDFs, then push structured results into Salesforce or your ERP.
Voice bots & digital humans
Real-time speech-to-text and text-to-speech assistants on phone lines, plus lifelike digital humans for premium customer experiences.
Generative image & content tools
Custom image generation and editing pipelines (e.g. inpainting and style transfer) and content workflows for marketing teams.
Related case studies
All case studiesArtificial Intelligence
Multimodal Conversational AI Platform
A multi-tenant platform for building, routing and running enterprise virtual assistants across web chat, WhatsApp, SMS, voice and digital humans, powered by IBM Watson Assistant, Azure OpenAI and Azure Speech.
Legal
AI Contract Intelligence Platform
A platform that ingests contracts, extracts key terms with large language models and lets users ask questions across documents using OpenAI, IBM watsonx and Watson Discovery.
Hospitality
AI Email Automation for Hospitality
An AI pipeline that reads incoming guest emails, understands the request using retrieval-augmented generation over the business's own documents and prepares answers.
Healthcare & Medical Research
Healthcare AI Survey Agent
Scoping, regulatory research and a working prototype of an AI agent that turns validated clinical questionnaires into natural conversations with patients.
HR & Recruitment
AI Interview Screening Platform
An AI-powered virtual interviewer that screens applicants with structured, consistent interviews and gives recruiters scored summaries — built by PortalVar; for recruitment agencies and SMEs.
How we work
A clear process, from idea to production
- 01
Discover
We learn your process, systems and goals, then agree on scope, priorities and success measures.
- 02
Design
Solution architecture, data model and user flows reviewed with your team before we build.
- 03
Build & test
Iterative delivery with regular demos, automated tests and a staging environment you can try.
- 04
Launch & support
Deployment, training, documentation and ongoing support or retainers after go-live.
- ✓ Reply within 1 business day
- ✓ Client confidentiality by default
- ✓ You own the code & documentation
- ✓ Fixed-scope or monthly retainer
FAQ
Frequently asked questions
What is RAG and why does it matter?
Retrieval-augmented generation (RAG) lets an AI model look up relevant passages from your own documents before answering. It keeps answers grounded in your data, reduces made-up responses and avoids the cost of training a custom model.
Is our data safe when using AI?
We design for data protection from the start: enterprise model endpoints (such as Azure OpenAI) that don't train on your data, access controls on what the assistant can retrieve, and logging for auditability.
Can the AI work inside Salesforce or WhatsApp?
Yes. We regularly connect AI assistants to Salesforce records and to WhatsApp Business through providers like Twilio, so the assistant can both answer and act.
How do we start?
We usually begin with a short discovery to pick one high-value use case, then deliver a working pilot with real users before scaling.
Contact
Let’s discuss your next solution.
Tell us what you want to automate, build, or improve. We’ll help you turn the idea into a practical business system.