Your AI-Powered Digital
Workforce
Xgenious designs and deploys custom AI agents, multi-agent systems, and workflow automation — production-grade, enterprise-secure, and trained on your business logic. Not chatbots, not Zapier flows, not n8n pipelines. Agentic AI systems that reason, retrieve, and act. Fixed-price from $1,500.
Task Queue
Connected Tools
Sales Agent · Qualifying lead #4127
Triggered by webhook · Calendly
Leads Qualified
0
↑ 23% vs yesterday
Conversion Rate
34.7%
Tokens / Hr
0
Avg cost: $0.0021
Avg Response
1.2s
p95 · 2.8s
Trusted by teams around the world
Build Intelligent AI Agents for Modern Business Operations.
Custom-built, production-ready AI agents engineered for real workflows. Not chatbots — autonomous systems that use tools, reason over data, and complete entire jobs end-to-end.
Custom AI Agent Development
Domain-specific agents trained on your data, business rules, and tone — purpose-built from architecture to deployment. Tool use, multi-step reasoning, eval harnesses, and observability wired in from day one. Not a wrapped ChatGPT prompt.
AI Workflow Automation
Replace fragile if-this-then-that automations — Zapier flows, n8n pipelines — with agents that handle exceptions, edge cases, and judgement calls. End-to-end orchestration across your stack — Slack, CRM, payments, ticketing — with idempotency, retries, and full observability so nothing silently fails.
AI Customer Support
Conversational support agents with persistent memory, full context awareness, and live tool access — deployed across web chat, WhatsApp, Slack, and voice agents. Escalates to a human when it should. Resolves autonomously when it can.
AI Chatbot Systems
LLM-native chatbots that go beyond keyword matching — grounded in your knowledge base via RAG — embeddings, vector database retrieval, and semantic search — integrated with your backend APIs, and capable of taking actions, not just answering questions. Built with hallucination guards and confidence thresholds.
Use Zapier. Use Make. Use Us. Know Which.
Three tools for three different problems. Here's the honest breakdown — including when you should not hire us.
Your if-this-then-that stack
Works when
- Workflow is fully predictable — no exceptions
- You only need pre-built app connectors
- Tasks follow a fixed trigger → action sequence
- Volume is low and errors can be handled manually
Breaks when
- An input falls outside the expected pattern
- You need to reason, not just route
- Your tool isn't in the marketplace
- You need memory or context from past sessions
Use Zapier for linear automation. It's fast, cheap, and right for the job — until it isn't.
Voiceflow, Botpress, Stack AI
Works when
- You need a working demo in 48 hours
- Simple Q&A chatbot over a document set
- Early-stage validation with no engineering team
- Single-purpose, low-stakes use case
Breaks when
- You need custom tool calls or proprietary APIs
- Multi-step reasoning chains with branching logic
- Production traffic or enterprise security requirements
- Accuracy and hallucination control actually matter
Use no-code AI to validate the idea. Come to us when the prototype needs to become a product.
What we build
Works when
- Workflows have exceptions, edge cases, judgment calls
- The agent needs memory and context across sessions
- You need custom API integrations and tool use
- Accuracy, observability, and uptime actually matter
Breaks when
- Your workflow is genuinely just if-this-then-that — use Zapier
- You need a throwaway demo in 24h — use a no-code builder
- Budget is under $1,500 — we'll tell you upfront
We're not the right call for everything. When we're not, we'll say so on the first call.
Not sure which fits your use case? Book a 30-min call — we'll tell you honestly, even if the answer is "use Zapier."
How an Agent Thinks, Retrieves & Responds
Every reply our agents produce passes through a four-layer knowledge pipeline and a nine-step contract. No layer is optional. No step can be reordered. Three hard stops protect the output from drift.
Multi-Layer Orchestration
L0 → L1 → L2 → L3 → L4
Every Layer runs. In Order. No Skipping
Visitor Message
Stages 1–2
Coverage Gate
Stages 3–4
Draft Generator
Stages 5–6
Guard Rails
Stages 7–8
Reply
Stage 9
Built for Teams Who Refuse Prototype-Grade AI
Enterprise-Grade AI Architecture
SOC 2 patterns, isolated tenancy, audit logs, and PII redaction baked in from day one — not retrofitted after a security review flags it.
Agent Uptime • 18 Months
Horizontally Scalable
From 100 to 10M requests/day without re-architecture. Auto-scaled inference, message queueing, and burst handling — your agents don't fall over when the workload spikes.
LLM Provider Agnostic
OpenAI, Anthropic Claude, open-source models — we abstract the model layer so you can switch providers without touching agent logic. No lock-in to a single vendor's pricing or availability.
Real-time Observability
Every reasoning step, tool call, token count, and latency metric logged and queryable. Debug agents like microservices — not black boxes. Datadog, Sentry, and custom dashboards wired in by default.
Secure by Default
Prompt-injection defence, scoped tool permissions, encrypted memory stores, and rate limiting on every agent endpoint. Security is an architecture decision, not a last-sprint patch.
Custom-Trained on Your Data
Fine-tuning, embedding pipelines, vector database indexing, and continual learning loops tailored to your domain, terminology, and business rules. Your agents speak your language — not generic LLM output.
Deployed in 4–8 Weeks
From kickoff to production. Most agencies take quarters — we ship in sprints with weekly demos, a staging environment, and a committed go-live date in the proposal.
A Modern AI Engineering Stack.
We're vendor-agnostic but opinionated. These are the tools we trust in production.
Connected AI Capabilities
A complete ecosystem of intelligent AI capabilities designed to automate workflows, enhance decision-making, and scale business operations without scaling headcount.
Multi-Agent Collaboration
Enable multiple specialised AI agents to work together, share context, divide tasks, and complete complex business operations collaboratively — with a coordinator agent managing the pipeline.
Real-Time Decision Engine
AI agents that analyse live data, understand context, and make intelligent decisions instantly — across workflows, approval queues, and operational systems — without waiting for a human trigger.
Seamless Tool Integration
Connect AI agents to your CRM, database, payment processor, ticketing system, and any REST/GraphQL API. Agents read, write, and act inside your existing tools — not alongside them.
AI Agents Deployed
Across Every Industry
From SaaS to healthcare — purpose-built AI agents that understand your domain, speak your terminology, and automate your highest-value workflows.
SaaS
Onboarding Automation • Churn Prevention
Real Estate
Lead Nurturing • Market Insights
E-Commerce
Cart Recovery • Personalisation
Finance
Fraud Detection • Customer Onboarding
Healthcare
Patient Intake • Appointment Scheduling
Education
Student Support • Content Generation
Logistics
Route Optimisation • Delivery Tracking
HR & Recruiting
Resume Screening • Candidate Outreach
Where Code Meets Conversion.
Custom-built platforms with measurable outcomes. Published scope, fixed pricing, and a committed delivery date — shipped, scaled, and proven in production.
AI-Powered Customer Support SaaS Platform
A self-hostable, multi-tenant Laravel platform with semantic AI chatbots, support ticketing, knowledge base builder, and Stripe billing — 40–60% AI deflection rate achieved in production.
Freelance Marketplace Platform Launched in 8 Weeks
Full-stack freelancer marketplace with escrow payments, bidding, dispute resolution, real-time chat, and Flutter mobile apps — shipped on schedule in 8 weeks.
Built for ROI, not demos
We'll quote your agent's per-task cost before you commit — not after you've signed.
Pick a Starting Point, No Discovery Tax
Scope is published. Timeline is committed. If we quote outside your package, we'll tell you upfront — not mid-sprint.
Agent Validation
2–3 Weeks · 1 Sprint cycleBest for: Validate your AI use case before committing to the full build. 100% of the fee credits toward Agent Pro.
Single AI agent, one use caseRAG pipeline + vector store setupUp to 2 tool / API integrationsBasic hallucination monitoringHuman-in-the-loop escalation14-day post-deploy support100% credited toward Agent ProAgent Pro
6–8 Weeks · 2 Sprint cyclesBest for: Multi-step workflow agents, customer support automation, or sales and ops agents with tool use.
Up to 3 AI agents, coordinated workflowsFull RAG pipeline + knowledge base ingestionUp to 8 API / tool integrationsMulti-agent orchestration (LangGraph)Human-in-the-loop + escalation routingReal-time observability dashboardEval harness + accuracy benchmarking30-day post-deploy support + 1 retainer monthAgent Enterprise
12+ Weeks · 3+ Sprint cyclesBest for: Multi-agent systems, enterprise-wide automation, compliance-heavy or high-volume production deployments.
Unlimited agents + full multi-agent orchestrationCustom knowledge base architectureUnlimited tool integrations + custom connectorsFine-tuning or domain-adapted model layersSOC 2-ready architecture + PII redactionDedicated observability stack (Datadog / Sentry)SLA-backed uptime commitment60-day post-deploy support + ongoing SRE retainerReal Questions. Real Answers.
The questions every AI buyer actually asks. If yours isn't here, ask it on the call — we'll answer it honestly.
A chatbot follows a fixed script or keyword map. An AI agent reasons, plans, calls tools, hits APIs, remembers context across sessions, and completes multi-step tasks autonomously — without a human prompting every action. A chatbot answers questions. An agent gets work done.
Ready to Build Your AI Agent?
Book a free consultation — get a roadmap & estimate.