Automate common tasks with AI
Connect simple automation with AI decision tools to handle document processing, approvals and exceptions.
System Automation
Make repetitive work automatic with AI so your team saves time and delivers more reliably.
What we do
We design AI-powered automation and AI assistants that handle routine tasks. From AI document reading and extraction to AI-driven routing and approvals, we help your team focus on higher-value work. We move AI ideas from small pilots to dependable production systems.
Our System Automation Offerings
AI smart helpers
Build AI assistants tailored to your business that can fetch information and act on your behalf, under human supervision.
Reliable AI model operations
Keep AI-driven decision systems working reliably by maintaining, testing and updating models and data pipelines over time.
AI data & workflows
Collect and prepare the data AI automation needs, and wire up the steps so AI tasks run in the right order.
AI safety & oversight
Put AI-specific checks and human reviews in place so AI automation stays safe, explainable and compliant.
Connecting systems for AI
Link your existing tools so AI automation can act across email, CRM or other systems without fragile workarounds.
How we engage
1. Discover
Business goals, data readiness, value mapping and quick feasibility studies.
2. Prototype
AI proof-of-value in 4–8 weeks: minimal data, focused evaluation metrics and rapid AI iteration.
3. Build
Production AI engineering, model observability, security and UX integration.
4. Operate
Monitoring, retraining, cost management and continued product support.
Typical engagement models
- Fixed-scope POC: Fast AI prototype with clear acceptance criteria.
- Time & material: Iterative AI delivery with a dedicated team.
- Outcome-based: Milestone payments tied to operational AI KPIs.
FAQ
How do you handle sensitive data for AI?
We apply tenant isolation, encryption at rest and in transit, and can run AI models in client-managed cloud accounts or on-prem when required. We also support data minimization, anonymization, and secure model access controls for AI workloads.
Which cloud platforms do you work with?
AWS, GCP, Azure and hybrid environments. With AI tooling and managed model services as appropriate. We recommend best-fit AI tooling per project.
