From an idea to a digital worker on the job.

We identify where AI can deliver value in your business, design the solution and run it for you on a subscription.

Security

Six layers that protect customer data at every stage.

Data isolation

Each customer's data is isolated at two layers. In the database, row-level security (RLS) is enabled on all tables and blocks all direct access. Within the system itself, every request is tied to the customer the key belongs to, never to the customer specified in the request.

Encrypted secrets vault

Customer API keys and other secrets are stored using AES-256-GCM envelope encryption, bound to their owner (AAD), and decrypted only in private memory while the digital worker carries out its task.

Protection against data leaks

An automated redaction engine removes keys and secrets from run history and logs before they are stored, including when they appear in base64-encoded or URL-encoded form. Data in transit is protected by TLS encryption, and the database is encrypted at rest.

Automatic filtering of personal data

Personal identifiers, such as national identification numbers, email addresses and phone numbers, are automatically filtered out before any request is sent to external AI models. External models are also disabled by default for all customers.

Multiple layers of access control

Four layers of access protection secure the management system, usage quotas apply to each customer, and every administrative action and configuration change is recorded in a traceable audit log with the identifier of the actor that performed it.

Automated security tests in CI

Every change undergoes automated attack testing of data isolation as part of the release process: 26 test suites run real cross-tenant attacks against a Postgres database and fail if an attack succeeds.

InputDigital workerAudit log
  1. Inputrequest from the customer
  2. Redactionkeys and secrets removed
  3. IsolationRLS + key-bound filtering
  4. Digital worker

    carries out the task

  5. Security layer in codethe last check before anything leaves
  6. Human confirmationconsequential actions wait for approval
  7. Audit logrecorded with the identifier of who performed it

How we work

Step 01

Assessment

We start with the business itself: its workflows, its data, and where time and money are spent. From there, we assess what is worth building and what is not.

Step 02

Build

The digital worker, automation or internal system is designed and built with clear security controls and human review where appropriate.

Step 03

Implementation

The solution is integrated into the team's actual workflow so it is useful in everyday work, not just as a demonstration.

Step 04

Support

Once the solution is running, we monitor, improve and adapt it as the business changes.

Benefits

Benefit 01

Revenue growth

Faster responses and consistent follow-up that would otherwise be missed as workloads increase.

Benefit 02

Time savings

Repetitive manual tasks, such as copying, reviewing and looking up information, move from your team to digital workers.

Benefit 03

Scalability

Handle more data and enquiries without having to increase staffing at the same rate.

Examples of digital workers

OT AI digital workers are not ordinary chatbots. They carry out a defined task from start to finish and refer matters to the team when a human decision is needed. Here are nine common examples.

Finding and analysing target customers

Scans websites, news and public data to identify new B2B sales opportunities, assess prospective customers' needs and prepare tailored outreach for the sales team.

API integration with internal systems

Connects directly to accounting and business systems, such as DK, Regla, Salesforce or HubSpot, to track invoices, update customer data and create tasks automatically.

HR and employee administration

Manages onboarding, monitors internal policies and requirements, and answers employee questions using staff handbooks around the clock in an encrypted environment.

Quote and tender analysis

Reads complex tender documents and requests for quotations, compares them with internal product catalogues and prepares initial drafts of tailored proposals for sales managers.

Social media and marketing

Analyses the latest trends, creates content and publishes posts on platforms such as LinkedIn. Monitors discussions about the company and prepares responses in real time.

Quality management and incident monitoring

Reviews internal procedures, scans incident reports and feedback, classifies non-conformities and notifies the person responsible if something does not meet quality standards.

Supplier and market monitoring

Tracks price changes among suppliers and competitors, compiles weekly analyses and alerts management immediately when anomalies arise.

Personalised, automated communication

Writes professional emails and messages in clear, polished Icelandic. The digital worker can continue the conversation, answer questions and book meetings directly in the calendar.

Processing large datasets

Analyses contracts, tender documents or specialist reports hundreds of pages long in seconds, extracts key information and records the findings.

Find where AI pays off in practice, before anyone writes a line of code.

We assess the opportunity and develop a costed plan, so you know where the investment will pay off before work begins.

Ask about an assessment
Example OT AI management overview using sample data: revenue, margin and cash position, a line chart of revenue against plan, a pie chart of revenue by department and a table of key projects.
Management overview: example solution using sample data

Remove the manual steps between the systems you already use.

We connect your systems through API workflows so work flows automatically, without manual copying.

Ask about automation
Example OT AI marketing dashboard using sample data: key figures for visits and conversions, a 30-day line chart, a bar chart of channels and a table of campaigns.
Market analyser: example solution using sample data

Dashboards that highlight what matters, built on your data.

Support tools and dashboards work within your own workflows, not in a separate window on the side.

Ask about internal systems
Example OT AI HR dashboard using sample data: headcount, staff turnover and eNPS, a bar chart of hires and a table of hires in progress.
HR monitor: example solution using sample data

Digital workers

Carry out a complete task from start to finish and refer decisions to the team.

Ask about digital workers

Build and implementation

Every release passes through security controls and review to ensure it runs securely.

Ask about implementation

Support and development

We monitor and improve the solution as your business changes.

Ask about support

This is the software we use ourselves.

Three tools our team uses every day to monitor, test and run customer solutions.

Keep up with the news without reading it all yourself

Reads and assesses AI news from a range of sources, prioritises it and delivers a short summary, labelled as an AI-generated summary for review.

Book a Radar demo

Radar

/api/admin/intelligence

New model from a European company

RSSHigh

EU AI regulation updated

News APIMedium

New competitor enters the Icelandic market

NimbleUnder review

Radar: example solution · sample data

Generated by OT AI · Review before use

Test prompts across three AI services before putting them to use

Runs the same prompts simultaneously in Claude, OpenAI and Gemini, flags unclear assumptions and produces an improved version that can be saved and compared.

Book a Prompt Studio demo

Prompt Studio

Meta-Refine

Claude

done

OpenAI

done

Gemini

running

Summary

pending

Prompt Studio: example solution · sample data

Generated by OT AI · Review before use

See usage and costs for each customer in one place

Usage and costs appear in a single overview, with clear warnings as limits approach. Every change can be reversed, and all changes are logged.

Book a Quotas demo

Quotas

/api/admin/quotas

Provisioned clients

12

Estimated cost

$184.20

Company Ltd

Rate-limit

Quotas: example solution · sample data

Generated by OT AI · Review before use

The system in numbers

4

Independent AI providers integrated into the system

1,970

Automated tests in the core system (workspace root)

258

Automated tests on the website (otai-web)

24/7

Round-the-clock operation with automatic task recovery

Not sure which of these you need? That is exactly what the first conversation is for.

Book a call
Services · OT AI