
When automation isn't enough, a single AI agent takes over. It reads context, makes decisions and acts. It handles one complex workflow from trigger to outcome without manual intervention.
Scope your agent →Unlike automation, which follows fixed rules, a single agent reads the situation, handles exceptions, and makes the call. One agent owns one workflow, end-to-end, without a human in the loop for every step.
One agent reads every inbound enquiry, scores it against your criteria, decides whether to route, nurture or disqualify, and drafts the first response, with no human in the loop.
Reads contracts, invoices or compliance documents, extracts the data that matters, flags exceptions, and posts clean results to your systems. It decides what's normal and what needs a human.
Evaluates variable inputs like pricing signals, risk factors and demand patterns, then makes a decision based on logic you define. Faster and more consistent than any manual process.
Handles inbound calls, bookings or support conversations end-to-end. Understands context, asks the right questions, and resolves or escalates based on what it learns in the conversation.
Reads sources, filings, reviews or competitor data, synthesises a cited summary, and delivers it in the format your team actually uses, cutting hours of manual research to minutes.
Monitors a live feed of support tickets, alerts and signals, then acts immediately. It classifies, prioritises and responds within seconds, keeping your team focused on what actually needs them.
"One agent. One workflow. Handling it the way a good employee would."
A single agent sits between rule-based automation and a full multi-agent system. It's the right level for workflows that need AI reasoning but don't yet need coordination across departments.
Automation follows fixed rules. A single agent reasons: it reads context, handles exceptions, and makes judgement calls that a rule can't.
A workforce coordinates multiple agents across departments. A single agent owns one workflow end-to-end. It's the right level of complexity for most businesses starting with AI.
We map the workflow end-to-end, define the decisions the agent needs to make, and confirm it's the right fit.
We design the agent's logic, the data it reads, the actions it takes, and the approvals that keep you in control.
We engineer and test it against your real data, not a generic demo, before anything goes live.
It deploys on our platform, monitored continuously and improved as your workflow evolves.
An event kicks the agent off — a new email, a form submission, a file drop, a scheduled time, or a signal from another system.
It reads everything relevant: the message, your records, past interactions and connected data, so it acts with the full picture, not a fragment.
It weighs the situation against the logic you define, handles the exceptions, and decides what should happen next.
It takes real action — updating your CRM, drafting a reply, generating a document, or calling another system's API on your behalf.
Approvals, limits and checks keep it inside the lines. Where it matters, a person signs off before anything happens.
It delivers the result in the format your team already uses, and logs every step, so you can see exactly what it did and why.
If every case is a little different and a fixed rule can't capture it, you need something that reads context and decides for itself.
Qualifying, prioritising, drafting or classifying — work a person currently 'just knows' how to handle case by case.
When the edge cases outnumber the clean ones, an agent handles the nuance instead of dumping it all back on your team.
"If you can write the rules, automate it. If it needs judgement, build an agent."
An AI Specialist is a single AI agent that owns one workflow end-to-end — it reads context, makes decisions and takes action, the way a capable employee would. It is Pexalo's second tier, above AI Automation and below a full AI Workforce. Where automation follows fixed rules, an AI Specialist handles nuance and exceptions. A workflow audit confirms whether a Specialist is the right fit for your process.
AI Automation follows a fixed script for predictable, rules-based tasks. An AI Specialist reasons: it reads the situation, handles exceptions and makes judgement calls. If your workflow is uniform, automation is faster and cheaper; if it is variable and full of edge cases, you want a Specialist. Many businesses run both, and Pexalo recommends the right level for each workflow in the audit.
ChatGPT answers prompts; an AI Specialist achieves outcomes. It connects to your systems, works from your data, follows your rules, takes real action, and keeps a full audit trail — not just a conversation. It is built and governed on the Pexalo platform, with the controls covered on our security and governance page. Compare the options further in our Knowledge Centre.
Almost any: sales lead qualification, customer-service triage, finance and invoice processing, document and contract review, reporting, HR onboarding and operations. Anywhere a person currently makes repeated case-by-case judgements, a Specialist can help. You will find department and sector examples across our industries pages and pre-built options in the Agent Marketplace.
Yes — that is the point. Each Specialist is designed around your exact process: the triggers it responds to, the data it reads, the decisions it makes, and the actions and approvals you allow. It is engineered and tested against your real data before go-live, not a generic demo. Pexalo's four-step method keeps the build tight and measurable.
Yes. A Specialist works from your business data and is tuned as your workflow evolves, so it keeps getting sharper instead of going stale. Output quality is scored on every run — see performance scoring — and refined over time. It all runs and improves on the Pexalo platform.
Yes. A Specialist reads from and writes to the tools you already use — CRM, email, finance, documents, databases — through their APIs, and Pexalo builds custom connectors for niche systems. Nothing gets replaced. See our integrations page for supported tools and how connections are secured on our governance page.
Typically weeks, not months, because we scope a single, well-defined workflow and test it against your data before launch. Simpler cases move faster. The four-step method — Audit, Recommend, Build, Monitor — keeps delivery predictable, and you see the expected impact in the audit before committing.
You stay in control throughout. You define the logic and limits, approvals sit wherever a human sign-off matters, and every action is logged so nothing happens without a trail. Your data stays yours and is never used to train external models. Full detail is on our security and governance page, and everything runs on the monitored Pexalo platform.
Yes. Many businesses start with one Specialist, prove the value, then add more. When several Specialists need to coordinate and hand off work across departments, they connect into an AI Workforce — the same building blocks, working as a team. You can also browse ready-to-deploy options in the Agent Marketplace.
Pexalo engineers each Specialist around your real workflow, tests it on your data, and runs it on a platform built for reliability and governance — and you own what we build. Because a Specialist is one tier of a connected system, you can start small and grow into an AI Workforce without rebuilding. Begin with a workflow audit to scope your first agent.
Review the public design principles behind Pexalo's AI Specialists — how a single agent reasons, connects to your systems and acts across one workflow, with the governance and testing patterns behind it.
Every Pexalo engagement starts with a workflow audit. We review your operations and show you exactly where this fits before anything is built.
Request your workflow audit →