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AI Agent Development:
Autonomous AI Agents
Built for Real Work

Deploy intelligent, autonomous software agents and 24/7 AI assistants that understand context, execute multi-step API actions, and manage customer operations without manual intervention.

✓

Multi-Step Execution: Agents don't just chat—they plan actions, make API calls, and update software systems.

✓

24/7 Omnichannel Availability: Seamless deployment across Web, WhatsApp, Slack, Teams, and SMS.

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Domain Model Adaptation: Models customized to your specific industry terminology and reasoning workflows.

Our Autonomous AI
Workflow Agents Services

01

Autonomous AI Workflow Agents

Software agents built to plan multi-step operations, call external APIs, update CRMs, and complete business tasks without manual intervention.

Autonomous AI Workflow Agents
02

Customer Support AI Copilots

24/7 conversational AI for your website, WhatsApp, and messaging channels that resolves complex inquiries, qualifies leads, and books meetings.

Customer Support AI Copilots
03

Internal Workspace Assistants

Secure workplace bots deployed inside Slack or Microsoft Teams to answer employee questions, locate internal docs, and draft reports.

Internal Workspace Assistants
04

Conversational Voice AI & Telephony Agents

Human-sounding AI phone agents that handle inbound support, qualify leads, and schedule appointments 24/7.

Conversational Voice AI & Telephony Agents

Move Beyond Rigid Rule-Based Chatbots

Legacy chatbots frustrate users with hard-coded decision trees and broken conversational loops, while human support teams burn out managing routine, repetitive queries.

The Problem

Traditional bots break whenever a customer asks a question outside a predefined script, forcing expensive human intervention for simple operational tasks.

The Problem illustration
The Solution

Our autonomous agents use modern reasoning frameworks to break complex user goals into logical sub-tasks, interact with external databases in real time, and resolve inquiries from start to finish.

The Solution illustration

Autonomous Systems
Engineered for Complex
Workflows

Autonomous Workflow Agents

Self-governing software agents designed with function-calling capabilities to create tickets in Jira, update CRM pipelines, generate invoices, and execute operations across tools.

Omnichannel Customer Support Copilots

Context-aware conversational assistants for your digital touchpoints that answer complex inquiries, resolve account issues, and qualify leads into scheduled sales calls.

Internal Workplace Bots

Enterprise copilots integrated directly into Slack or Microsoft Teams to automate employee onboarding, resolve internal IT tickets, and pull company operational data instantly.

Voice & Speech AI Agents

Low-latency conversational voice engines for automated phone support, intelligent inbound call routing, and hands-free service scheduling.

24/7

Always-On AI Operations

4

Phases: Audit, Build, Test, Monitor

12+

Years of Hands-On IT Engineering Experience

3

Offices: Dubai, Karachi & USA

Book a Free AI Strategy Call ›

Technical Architecture & Tooling

No Feature Production Specification
01 Vector Storage Qdrant, Pinecone, pgvector (PostgreSQL), Milvus
02 Embedding Models text-embedding-3-large, Cohere Embed v3, BGE-Large
03 Supported LLMs Anthropic Claude, OpenAI GPT, Google Gemini, self-hosted Llama, Mistral & Qwen
04 Data Ingestion Formats PDFs, DOCX, CSV, Notion, Confluence, SharePoint, SQL
05 Compliance & Privacy SOC 2, GDPR & HIPAA-aligned controls, Role-Based Access Control (RBAC)

Implementation Process

An 8-week path from workflow mapping to live monitoring.

Implementation Process

An 8-week path from workflow mapping to live monitoring.

PHASE 01 · WEEK 1–2 01

Workflow Mapping & API Audit

Define business goals, map system decision logic, and verify API connectivity across your software stack.

PHASE 02 · WEEK 3–4 02

Agent Tooling & Function Calling

Build custom integration tools, state management memory buffers, and multi-turn prompt architectures.

PHASE 03 · WEEK 5–6 03

Guardrails & Security Testing

Implement prompt injection defenses, execution boundaries, and role-based access control.

PHASE 04 · WEEK 7–8 04

Deployment & Live Monitoring

Deploy into staging/production, configure real-time session tracing, and train operational staff.

01 PHASE 01 · WEEK 1–2

Workflow Mapping & API Audit

Define business goals, map system decision logic, and verify API connectivity across your software stack.

02 PHASE 02 · WEEK 3–4

Agent Tooling & Function Calling

Build custom integration tools, state management memory buffers, and multi-turn prompt architectures.

03 PHASE 03 · WEEK 5–6

Guardrails & Security Testing

Implement prompt injection defenses, execution boundaries, and role-based access control.

04 PHASE 04 · WEEK 7–8

Deployment & Live Monitoring

Deploy into staging/production, configure real-time session tracing, and train operational staff.

Related reading

Your Success Story Starts Here
Let’s Begin!

Contact Us ›

Frequently Asked Questions

Got questions? We've answered the most common ones about working with RixDigi — from services to timelines to support.

FAQ illustration

No. Your company data is never used to train public or shared AI models. All data stays isolated within your dedicated environment and is used solely to power your own agents.

RAG (Retrieval-Augmented Generation) pulls relevant context from your existing data at query time, while fine-tuning retrains the model's weights on your data. We typically recommend RAG for most use cases since it's faster to update and doesn't require retraining.

Yes. We build custom API bridges and secure database connectors that allow agents to query and update records safely.

Ready to Deploy Autonomous Agents in Your Operations?

Book a 30-minute discovery call to explore agent workflows tailored to your business infrastructure.

Book Your Technical Discovery Session ›

Frequently Asked Questions

What is an AI agent, and how is it different from a chatbot?

An AI agent is software that understands a goal, decides the steps needed and takes actions in your systems, such as updating a CRM, issuing a refund or booking a meeting. A traditional chatbot only follows scripted replies. RixDigi builds agents that call your APIs through controlled tools, with guardrails and human approval on sensitive actions.

Which business processes are best suited to AI agents?

The best candidates are high-volume, rules-plus-judgement tasks that already have digital data: customer support triage, lead qualification, internal knowledge questions, order and ticket updates, and phone call handling. We start with a workflow and API audit to confirm the data, systems and approval steps before anything is built.

Can your AI agents integrate with our existing tools?

Yes. Our agents connect to your stack through APIs and function calling, including CRMs, helpdesks, ERPs, databases, Slack, Microsoft Teams and telephony platforms. Where no API exists, we build secure middleware so the agent can read and write data without changing how your team works.

How do you keep AI agents safe and accurate in production?

Every agent ships with guardrails: restricted tool permissions, input and output validation, red-team testing, fallback to a human when confidence is low, and full action logging. After launch we monitor accuracy, cost and failure cases continuously and tune prompts and tools as your processes change.

Ready to Bring Enterprise-Grade AI into Your Operations?

Book a 30-minute discovery session with our engineering team to evaluate your workflows and identify your highest-impact AI opportunities.

Rixdigi Locations:

United Arab Emirates (Global Operations Hub)

Office 408, 4th Floor, Al-Wasal Building, Dubai.

+971 50 349 5669

Pakistan (Regional Office)

Office 202, 2nd Floor, Building #85, Shaheed-e-Millat Road, Karachi

+92 300 5002659

United States (Regional Office)

923 Elm St, Unit #9, Manchester, NH 03101

+1 603 614 5703