Autonomous Agents That Work While You Sleep
We build AI agents that receive a goal and execute it end-to-end — browsing the web, calling APIs, updating your CRM, sending emails, and producing deliverables — without a human in the loop. 340% more tasks done. Zero bottlenecks.
Agents Built for Real Work
Not demo projects. Production-grade AI agents running real business workflows with observable behaviour, recoverable errors, and measurable outcomes.
Autonomous Task Execution
AI agents that receive a goal and figure out the steps themselves — researching, writing, calling APIs, updating databases, and reporting results without requiring step-by-step human instruction.
Tool Use & API Calls
Your agent isn't limited to text. It uses tools: browsing the web, querying databases, sending emails, updating CRM records, posting to Slack, generating PDFs — anything with an API or a browser.
Long-Term Memory
Agents remember past tasks, decisions, and outcomes via vector memory stores. They get smarter over time — referencing previous work, avoiding past mistakes, and building institutional knowledge.
Multi-Agent Orchestration
Complex workflows split across specialised sub-agents: a researcher, a writer, a QA reviewer, and a publisher — all coordinated by a supervisor agent with LangGraph. True parallel workload handling.
Self-Healing on Errors
When a tool call fails or an API returns an unexpected response, the agent diagnoses the error, tries alternative approaches, and only escalates to a human if it genuinely cannot self-recover.
Audit Logs & Monitoring
Every decision, tool call, and output is logged with a timestamp, reasoning trace, and token cost. You always know exactly what the agent did, why, and what it cost — with alerts for anomalies.
How We Work
We don't hand you a notebook and call it an agent. We deliver a production system with observability, error recovery, and documented performance benchmarks.
Workflow Analysis
We map your highest-value repetitive workflows and identify exactly which parts a human is doing that an agent could handle. We prioritise by ROI, feasibility, and risk level.
Agent Architecture
We design the agent's goal structure, tool set, memory configuration, and error-handling strategy. Multi-agent workflows are orchestrated with LangGraph for deterministic state management.
Build & Evaluate
We build with LangGraph and LangChain, evaluating each agent task against a ground-truth test set. Accuracy, latency, and tool reliability benchmarks are agreed before we ship.
Shadow Mode & Go Live
The agent runs in shadow mode first — completing tasks but requiring human approval. Once accuracy is validated over 200+ runs, we flip to fully autonomous with alerting in place.
Our Agent Stack
The most advanced agent frameworks available — orchestrated for reliability and auditability.
Frequently Asked Questions
The questions every serious buyer asks before commissioning AI agents.
What's the difference between an AI agent and a chatbot?
A chatbot responds to user messages in a conversation loop. An AI agent is given a goal and autonomously decides what actions to take, in what order, using tools and external APIs — without requiring any human turn-by-turn instruction. Agents can run for minutes or hours on complex multi-step tasks.
What kinds of tasks can AI agents handle?
Research and report drafting, CRM data enrichment and updates, email outreach sequences, invoice processing, competitor monitoring, social media scheduling, lead scoring, document review, and any multi-step workflow that currently requires a human to open multiple browser tabs and follow a checklist.
How do you ensure the agent doesn't make costly mistakes?
We implement human-in-the-loop checkpoints for high-stakes actions (e.g. sending emails to thousands of contacts, making financial transactions), confidence thresholds below which the agent pauses and asks for confirmation, and a shadow-mode validation period before full autonomy is granted.
Can agents access our internal systems and data?
Yes. We build custom tool integrations for your CRM (Salesforce, HubSpot), ERP, database, or any internal API. All access is scoped to minimum necessary permissions, authenticated via service accounts, and logged in full. No data leaves your VPC unless you explicitly authorise external tool calls.
What does ongoing maintenance look like?
AI models update, APIs change, and your workflows evolve. Our retainer plans cover model updates, tool compatibility patches, accuracy monitoring with retraining when drift is detected, and development of new agent capabilities as your needs grow.
Ready to Give Your Team a Tireless AI Workforce?
Start with a free workflow audit. We'll identify the three highest-ROI processes for agent automation, estimate the time savings, and show you exactly what an agent would do — before you commit to building one.
Ready to transform your business?
Get started with Mayratic today and unlock the power of AI-driven solutions for your team.
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