50% cheaper than traditional labour. Deployed in weeks.
Investment supported by a strong business case
Pricing plans that
scale with you
Start with a 90 day trial and upgrade as you realise a ROI
Ready-to-go Agent (AI only)
For individuals or small teams looking to optimise business workflows.
$999 USD/month
- Multiple proprietary vLM AI OCR models
- Up to two AI schemas
- Process all file formats
- Document ingestion via email, API or direct upload
- Unlimited out-of-the-box import integrations
- Unlimited users and workspaces
Hybrid Agent (AI + Offshore QA Resource)
Fully customisable Agents for complex, high-volume knowledge workflows across your enterprise.
$1,500 USD/month
- Custom-trained AI OCR models
- Unlimited AI schemas
- Custom export integrations
- Customisable workflow orchestration
- Private cloud/on-premise deployment
- Guaranteed 99.9% uptime SLA
- Dedicated account manager
Frequently asked questions
How long does it take to onboard an AI Employee, and what's the process?
Deploying an AI Employee to perform a specific task takes 6 weeks. Multiple AI Employees can be onboarded in parallel.
Weeks 1–2: Process Mapping
We run 3x 2-hour workshops per task to document your current business process in detail. This can be done remotely for convenience.
Weeks 3–4: Training & Validation
The AI Employee is trained on your documented processes. Throughout this phase, outputs are shared with your team for review and validation.
Weeks 5–6: Live Deployment
We integrate the AI Employee into your live environment, connecting to the necessary data sources. Custom integrations may require additional time. Associated costs are spread across the contract duration.
What internal resources are required, and how much time will they need to commit?
We recommend appointing an AI Employee Manager as the primary point of contact to coordinate with your internal team.
We’ll also need access to the Process Owner (e.g. Finance Manager) and the day-to-day Operator (e.g. AP Clerk) to help document workflows and validate outputs.
On average, the time commitment for your employees is an average of 1 hour per day over the 6-week onboarding period.
How do we monitor performance of our AI Employees and provide input where human intervention is necessary (human-in-the-loop)?
Our platform provides live visibility on the performance, for example, number of documents/emails processed per hour, number errors identified, status of errors, pending actions per task, etc.
Where human input is necessary, we make the relevant data available via our platform. Notifications to prompt users will be sent via email.
How are data quality issues managed?
We implement data quality checks as part of the onboarding process. Any issues identified are flagged in real-time to the designated AI Employee Manager, enabling prompt resolution at the source and uninterrupted task execution.
Over time, we work with your team to establish system-based controls that ensure data quality is maintained at the point of entry.
How do you keep our data safe?
We encrypt all data in transit (TLS) and at rest (AES-256), enforce strict role-based access controls with comprehensive audit logs, and operate on ISO 27001-certified infrastructure. Our security framework complies with GDPR and undergoes independent SOC 2 Type II audits. For organisations requiring full data isolation, private cloud and on-premise deployment options are available.
Enterprise-grade
security and compliance
Data security and privacy is at the center of everything we do at AI Manpower.
With SOC2 Type 2 compliance, ISO 27001 certification, as well as HIPAA and GDPR adherence, you can trust AI Manpower robust security controls to protect your data and mitigate information security risks.
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Book a diagnostic before the numbers drift further.
AMG will assess where value is leaking across valuation, cashflow and profitability, then map the highest-impact execution path.