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Home/Services/AI Agents & Automation
Engineering · Service

AI Agents & Automation

Software that acts, not just predicts. We build multi-step AI agents that reason, use tools, and complete complex tasks end-to-end — freeing your team from repetitive processes and slow manual workflows.

Book a consultation → See all AI services
17yrs
Automation experience
150+
Automation workflows shipped
99%
Client satisfaction
What we deliver

Agents that work, not just respond.

Multi-Step AI AgentsAutonomous agents that break down complex goals into sub-tasks, select the right tools at each step, and deliver complete outcomes — not just answers.
Workflow AutomationEnd-to-end automation of business processes — document processing, data extraction, approvals, notifications, and cross-system orchestration without human intervention.
RPA & AI IntegrationCombining robotic process automation with AI reasoning to handle both structured rule-based tasks and unstructured inputs that legacy RPA tools cannot manage.
Tool-Using AgentsAgents equipped with web search, code execution, API calls, database queries, and file manipulation — purpose-built for your internal systems and data sources.
Human-in-the-Loop SystemsAutomated pipelines with configurable approval gates, confidence thresholds, and audit trails — so humans stay in control of high-stakes decisions.
Agent Monitoring & MaintenanceLogging, tracing, cost tracking, and performance dashboards for every agent in production — with ongoing tuning as your data and workflows evolve.

A predictable path from brief to live.

01
Map
We audit your current workflows to identify where agents can replace manual effort with the highest return.
02
Design
Agent architecture, tool selection, guardrails, and escalation paths — specified before any code is written.
03
Build
Iterative development with weekly demos — you see the agent working against real data, not mock scenarios.
04
Run
We deploy, monitor, and improve agents in production — with full observability and cost controls from day one.
Client voices

Reliable enough to come back for.

“

We hire a lot of contractors for small to mid-sized projects. This one has been our favorite — a higher quality of developer than most, and very responsive.

BradBradHotAirTools.com
“

I've been very impressed with the quality of the iOS and Android apps. Great professionalism, outstanding communication and responsiveness.

IvanIvanFounder & CEO, Gigley
“

The quality is just top-notch. The best thing is that they actually meet all the deadlines and my high expectations. The team rocks!

WilcoWilcoFounder & CEO
Our agent stack

Best-fit tools, chosen for your problem.

PythonPython Node.jsNode.js AWSAWS AzureAzure Google CloudGoogle Cloud ReactReact
Ready to automate your workflows?

Talk to a senior AI engineer — we'll map your highest-value automation opportunities and give you an honest plan.

Talk to us →
FAQ

Questions we hear a lot.

Still unsure? Talk to us →

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

A chatbot responds to individual messages in a single turn. An AI agent pursues a goal across multiple steps — planning, selecting tools, executing actions, and adapting based on intermediate results. Agents can browse the web, query databases, write and run code, call APIs, and produce end deliverables autonomously.

What business processes are good candidates for AI agents?+

Any process that currently requires a human to gather information from multiple places, apply judgement, and produce a structured output is a strong candidate. Common examples: lead qualification and research, contract review summaries, invoice processing, IT incident triage, customer support escalation routing, and content publishing workflows.

How do you prevent agents from making costly mistakes?+

We design agents with layered guardrails: confidence thresholds that trigger human review, sandboxed tool execution environments, action logging, rollback capabilities for reversible operations, and approval gates for high-stakes actions. Agents are tested exhaustively against edge cases before going to production.

Can agents integrate with our existing internal systems?+

Yes — integration is central to how we build agents. We connect to your CRMs, ERPs, databases, internal APIs, cloud storage, and SaaS tools. Where APIs don't exist, we can build them or use browser-based automation to interact with legacy web interfaces.

What does an AI automation project typically cost and take?+

A focused single-workflow agent typically takes 4–8 weeks and costs from $8,000–$25,000 depending on the number of tools integrated and complexity of the logic. Broader automation programmes with multiple interconnected agents are scoped separately after a discovery sprint. We give fixed-price quotes so there are no surprises.