const risk = { maxDrawdown: 0.08, maxExposure: 0.25 };
for await (const tick of feed) engine.evaluate(tick);
if (portfolio.drawdown() > risk.maxDrawdown) engine.halt();
model.fit(train).validate(outOfSample);
agent.route(intent, { humanHandoff: true });
await crm.pipeline('qualified').advance(lead);
notify.whatsapp('order_update', { optIn: true });
voice.triage(call).then(queue.assign);
backtest.run({ costs: true, slippage: true });
assert(walkForward.score > threshold);
deploy.canary(release).watch(metrics);
audit.log('policy.published', { version });
robot.task('inspect', { zone: 'B4' });
schedule.publish(post, { approval: true });
sitemap.generate().submit();
monitor.alert('latency_p99', { ms: 250 });
const risk = { maxDrawdown: 0.08, maxExposure: 0.25 };
for await (const tick of feed) engine.evaluate(tick);
if (portfolio.drawdown() > risk.maxDrawdown) engine.halt();
model.fit(train).validate(outOfSample);
agent.route(intent, { humanHandoff: true });
await crm.pipeline('qualified').advance(lead);
notify.whatsapp('order_update', { optIn: true });
voice.triage(call).then(queue.assign);
backtest.run({ costs: true, slippage: true });
assert(walkForward.score > threshold);
deploy.canary(release).watch(metrics);
audit.log('policy.published', { version });
robot.task('inspect', { zone: 'B4' });
schedule.publish(post, { approval: true });
sitemap.generate().submit();
monitor.alert('latency_p99', { ms: 250 });
Home AI Automation AI Agents AI agents AI agents that do useful work — within clear boundaries We design and build task-focused AI agents that research, summarise, answer, draft and route — integrated with your systems, evaluated for accuracy and supervised by people.
Design principles
How we build agents you can trust Swipe to explore
Task-focused Each agent has a defined job, inputs, tools and success criteria — not vague, open-ended autonomy.
Grounded in your knowledge Retrieval from your approved documents and data, so answers can cite real sources.
Tool integrations Agents act only through approved APIs: CRM, calendar, ticketing, spreadsheets and more.
Guardrails Permission limits, content filters and escalation rules for sensitive actions.
Evaluation Task-specific test sets and quality checks before and after launch.
Human oversight Approval steps and an easy handoff to people where decisions matter.
Applications
Realistic ways businesses use AI agents Research assistant Monitors sources, summarises findings and drafts briefings with citations.
Support assistant Answers common questions from your knowledge base, clearly identified as automated.
Enquiry triage Classifies incoming requests and routes them to the right team.
Document processing Extracts and checks information from forms, contracts and invoices.
Internal knowledge Helps staff find policies, procedures and past decisions quickly.
Reporting drafts Prepares first drafts of routine reports for human review.
FAQ
AI agent questions Will an AI agent replace my staff? Agents work best on repetitive, well-defined tasks, freeing people to focus on judgement and relationships.
Is our data used to train public models? We design integrations to avoid that wherever the provider allows, and we document each provider's data handling so you can decide.
How do you measure quality? With task-specific test sets, sampled reviews and feedback loops agreed with you.
Have a task an AI agent could take on?