AI Agents & Assistants
AI agents that do real work, with guardrails.
We build AI agents and assistants for Pakistani businesses that answer customers on WhatsApp and the web, look things up in your systems and take approved actions.
AI Agents & Assistants
AI agents and assistants built on OpenAI, Claude and Gemini that answer questions, use your tools and complete tasks safely.
Technology
- OpenAI
- Claude
- Gemini
- Tool calling
- MCP
- RAG
The challenge
Why most AI pilots stall
Chatbots that only chat
Assistants that can't check an order, book a slot or update a record don't save anyone time.
Answers you can't trust
Without grounding in your own data, models guess, and customers notice.
No control in production
No logs, no approval steps and no cost limits make teams nervous about going live.
Our approach
Grounded, connected and observable
We connect the model to your knowledge and tools through well-defined functions, add permissions and human approval where actions matter, and monitor quality, cost and latency once it's live.
- Retrieval (RAG) over your documents, products and policies
- Tool use: CRM, eCommerce, calendars, ticketing and internal APIs
- Model choice per task: OpenAI, Claude, Gemini or open models
- Human-in-the-loop approvals, audit logs and usage limits
How an agent handles a request
- Question
- Understand intent
- Search your data
- Use a tool
- Check / approve
- Reply & log
What we deliver
What we build
Customer service assistants
Answer questions, track orders and raise tickets on web chat or WhatsApp.
Sales and lead agents
Qualify enquiries, recommend products and book meetings into your calendar.
Internal knowledge assistants
Search policies, contracts and manuals with answers that cite their sources.
Operations agents
Read emails and documents, extract data and update your systems for review.
OpenAI development
GPT models, the Assistants and Responses APIs, structured outputs and function calling.
Gemini and multi-model setups
Route tasks to the best model for quality, speed and cost, with fallbacks.
Evaluation and monitoring
Test sets, quality scoring, cost tracking and alerts before and after launch.
Arabic and English assistants
Bilingual assistants for the UAE and wider region, tested in both languages.
Use cases
Where agents pay off
eCommerce support
Order status, returns and product questions answered instantly, day and night.
Real estate enquiries
Qualify buyers and tenants and schedule viewings from WhatsApp.
Professional services
Draft first responses, summarise documents and prepare client files.
Back-office processing
Invoices, purchase orders and forms read and entered for approval.
Technology
- OpenAI
- Claude
- Gemini
- Tool calling
- MCP
- RAG
- Vector databases
- LangGraph
- Next.js
- Python
How we work
A clear process from idea to growth.
Eight stages, with visible progress and a working product early.
Discover
We understand your business, users, goals and constraints before proposing anything.
Plan
Product and technical strategy: scope, architecture, milestones and a clear estimate.
Design
User journeys, UX and UI designed around how your customers actually behave.
Build
Iterative development in short cycles, with working software you can review early.
Integrate
Payments, APIs, AI models, CRMs and automation connected into one system.
Test
Functional QA, security checks, accessibility and performance testing.
Deploy
Production deployment with CI/CD, monitoring and a documented rollback path.
Grow
Ongoing optimisation, maintenance, automation and support after launch.
Why it matters
Benefits
Faster responses
Customers get accurate answers in seconds, not hours.
Less manual work
Repetitive lookups and data entry move to the agent.
Safe by design
Permissions, approvals and logs keep people in control.
No lock-in
Model-agnostic design lets you switch providers as they improve.
Frequently asked questions
AI Agents & Assistants
Which model should we use: OpenAI, Claude or Gemini?
It depends on the task, language, data sensitivity and budget. We test candidate models on your real examples and often combine them, for example a fast model for routing and a stronger one for complex answers.
Can the agent take actions in our systems?
Yes, through tools we define, such as looking up an order or creating a ticket. Sensitive actions can require human approval, and every action is logged.
How do you stop it from making things up?
We ground answers in your own content with retrieval, instruct the agent to say when it doesn't know, and test it against a set of real questions before launch.
Is our data used to train the models?
We use provider API settings and contracts that exclude your data from model training where available, and we keep data access to what the agent needs.
Quick quote
Get a quote for AI Agents & Assistants
Tell us a little about what you need. We'll reply with next steps, a rough timeline and a cost range. No obligation.
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Have a task an AI agent could take over?
Describe the process and the systems involved, and we'll suggest a practical first agent.