
AI inside your workflows, with people in control.
From agents that run inside your workflows to the data platforms underneath them, Sails Software builds AI your teams can review, audit and measure.
What are Sails Software AI services?
Sails Software's AI services cover agentic AI, generative AI, machine learning and data analytics. We design and build AI inside enterprise workflows and put it into production, with explainable decisions, human sign-off on exceptions and an audit trail for every action, so pilots become systems your teams use every day.
- 1
Assess
Choose workflows where AI has clear business value and the data is ready to support it.
- 2
Build with governance
Agents, models and guardrails ship with explainability, human review points and audit logging from the first release.
- 3
Measure and improve
Track accuracy, cost and outcomes after go-live, so models are tuned as your processes change.
Four ways we put AI to work.

Agentic AI
Agents that sense, analyze and act inside complex workflows, and bring people in for the decisions that matter.
Explore Agentic AI
GenAI
Generative AI applications grounded in your data, with the guardrails enterprise use needs.
Explore GenAI
AI & ML
We build predictive models into core workflows, from credit decisions to lab data, and automate the manual checks around them.
Explore AI & ML
Data Analytics
AI-ready data platforms that bring scattered sources into one governed, traceable view.
Explore Data AnalyticsGoverned by design, not added later.

SQAM, Migration Maestro, SARA and more.
Explore AI AcceleratorsSense, analyze, act, escalate
Agents handle routine work and route exceptions to the right person.
Explainable decisions
Every recommendation shows the factors behind it, ready for review.
Audit trail by default
Decisions, reasoning and checks are logged for compliance teams.
AI outcomes clients can measure.

faster development
Closing the AI-to-production gap with governed AI delivery
Read the case study
profit growth
AI-powered credit management
Read the case study
user satisfaction
AI-driven laboratory analytics in real time
Read the case studyHow AI is changing software delivery.
Frequently asked questions.
What is agentic AI?
Agentic AI uses software agents that sense information, analyze it, take actions inside business systems and escalate to a person when a decision needs human judgment. Unlike a chatbot that only answers questions, an agent completes steps in a workflow, such as matching documents or routing exceptions to a reviewer.
How is agentic AI different from generative AI?
Generative AI creates content such as text, summaries or code from a prompt. Agentic AI uses models like these as one component and adds the ability to plan and carry out tasks across systems. Many enterprise solutions combine both: generative AI to understand and draft, agents to act.
How does Sails Software keep humans in control of AI decisions?
Each solution defines review points where agents hand exceptions to a named reviewer, shows the factors behind every recommendation, and records decisions, reasoning and checks in an audit trail. Sails Software accelerators such as Migration Maestro also require human sign-off before key steps.
How does Sails Software move AI from pilot to production?
We start with workflows that have clear business value, build governance in from the first release instead of adding it later, and reuse accelerators for testing, migration and operations. Our governed AI delivery case study reports 70% faster development for a workforce and financial services client.
Which industries does Sails Software build AI for?
Most of our AI work is in financial services, life sciences, healthcare, human capital and e-commerce, including AI-powered credit management and real-time laboratory analytics. Our AI practice also works across other sectors.

Start with an AI readiness assessment.
Tell us which workflow you want to fix first. We'll check the data, the risks and the path to production.


