Transform work with secure AI agents. Atlas Support builds AI agents and workflow automation that execute real business processes, enhance customer experience, and augment knowledge work — with privacy, security, and data control by design.
We support AI strategy, training, consulting, and agent development, with services for AI security assessment and remediation, real-time interpretation, and agent payments.
We help leadership teams identify where AI agents can create measurable business value. From AI advisory and roadmap design to proof-of-concept planning, we turn ambition into executable strategy.
Corporate AI training covering ChatGPT foundations, research, presentations, data analysis and AI assistant development. Combine instruction with practical exercises tailored to your workflows and skill level.
We design, build, and operate AI agents that fit real business workflows. From internal knowledge search and RAG to API integrations, SaaS connections, workflow automation, human review, logging, and evaluation design, we help turn AI agents into systems that can be used in real operations.
We help turn AI opportunities into business projects, from planning and workflow design to adoption and evaluation. Our work covers use-case selection, technology comparisons, proof-of-concept testing, and rollout across your organization.
We use AI to support security assessments and penetration testing for web applications, APIs, cloud environments, and networks. Our services connect vulnerability prioritization with remediation, retesting, and ongoing security verification.
A real-time multilingual interpretation video system for focused 1:1 meetings. It supports 16 languages, including Japanese, English, and Chinese.
We develop infrastructure that lets AI agents use external APIs and services and pay within defined budgets and permissions. Our services cover custom agent payment development, JPYC payment integration, and spend and transaction tracking.
We define the target workflow, available data, access permissions, and human review points. A focused validation then provides evidence on quality, time, and risk to support the next investment decision.
InsightsExplore sales preparation, recruitment and staffing, and support replies. See the source materials, example outputs, and review steps for each workflow.
Pick one repeated job with a clear owner and review point.
Decide what the agent may read, draft, check, or route.
Measure time, quality, risk, and adoption before scaling.
Turn listing information and customer enquiries into sourced response drafts, property comparisons and viewing briefs that brokers and property managers can review and use.
AI interviews, job requirements, interview records, referral preparation, and assignment follow-up. Explore workflows that support recruitment and staffing teams from candidate conversations through handover to an adviser.
Bring proposals, meeting notes, and account records into a preparation brief with customer needs, open questions, and links to the supporting material.
- Economics
- Economics
- Economics
- Knowledge Management
Atlas Unite now supports 16 languages with the addition of Indonesian, Vietnamese, Arabic, Thai, Malay, and Tagalog. Participants choose the language for interpreted audio and captions.
ZeroPress has republished the press release announcing the launch of Atlas Unite, our online meeting service with AI interpretation.
NEWSRELEA.SE has republished the press release announcing the launch of Atlas Unite, our online meeting service with AI interpretation.
The Japanese-language interview discusses how Atlas Support approaches AI adoption from a management perspective, including business value, human review, and changes in people's work.
Atlas Support founder Seiryu Ando's Japanese-language book examines prediction markets as a way to understand uncertain futures and prepare for them. Available on Amazon Kindle.
The August 15, 2026 revision examines the temporal structure of forecast error on Polymarket using Brier loss before operational market closure.
Published on July 13, 2026, the working paper presents a financial framework for connecting generative AI use to profit and firm value.
The 1:1 video meeting system now supports Japanese, English, Chinese, German, Korean, French, Portuguese, Spanish, Russian, and Italian.
A structured approach to finding repeatable work, validating use cases, and moving from ideas to deployment.
Support designed around privacy, security, and the realities of business-critical knowledge work.
A practical research stream for copilots, AI agents, data workflows, and secure automation.
A brand can be managed and brought to life like software. A company defines its values, promises, and creative decisions in an evolving specification, then uses it to create websites, documents, and customer touchpoints. This shift frames our view of brand in the AI era.
Start AI adoption by selecting one recurring business decision or workflow, then define its owner, evidence, risk boundary, and measurable outcome before choosing a model or vendor.
An AI PoC should test a specific business hypothesis with representative cases, a baseline, risk limits, and a written decision rule for continuing, redesigning, or stopping.
Measure AI value against the current workflow, combining business outcomes, output quality, risk, adoption, and total operating cost rather than reporting model accuracy alone.
Have an idea?
Real estate
with AI