AI is one of the easiest technologies to adopt, and one of the hardest to use well.

At Sigma, responsible AI means using AI with judgment, oversight, and accountability. We use AI where it helps our teams work faster, think more clearly, and improve delivery. But AI does not replace the human responsibility that quality work requires.

AI supports our work. It does not own the outcome.

AI may assist with research, analysis, documentation, code generation, testing, and quality checks. But any AI-assisted work that reaches a client is reviewed by a Sigma team member.

A model may suggest. A person decides.

Client data is protected.

Client information is used for the purpose of delivering the work our clients engage us to do.

We do not permit client data to be used to train public AI models. AI tools used in client-related work are expected to follow Sigma’s approved security, privacy, and governance requirements, and our teams are trained on appropriate data handling before using them.

We assess AI use by risk.

  • Not every AI use case carries the same level of risk. We look at the data involved, the impact of incorrect outputs, the need for human review, and the controls required for responsible use.

    This risk-first approach applies to how we use AI internally and how we help clients build AI-enabled products.

Security and privacy are the foundation.

Responsible AI depends on the security and privacy practices that govern how Sigma operates.

Sigma Infosolutions is independently certified under ISO 27001 and ISO 9001:2015. LendFoundry, our lending technology platform, maintains SOC 1 and SOC 2 certifications.

We engage under NDA before detailed technical or sensitive business discussions and handle client information in line with the obligations that apply to each engagement.

How this shows up in our work

Responsible AI at Sigma means:

  • Human review remains central.
  • Client data is handled only through approved tools and environments.
  • AI tools used in client work are reviewed before use.
  • Risk is assessed based on the use case, data, and impact.
  • Accountability stays with Sigma, not the AI tool.
  • Our approach evolves as AI capabilities, risks, and client expectations change.

Our belief

AI is most valuable when it is used carefully, not loudly.

The companies that benefit most from AI will be the ones that know where it helps, where it introduces risk, and where human judgment must remain in control.

That is the standard we are working toward at Sigma.