About

After Hours Data Systems helps small and midsize businesses put AI to work without losing control of their data. That starts with governance: deciding where AI belongs, writing clear usage and development policies, and building those rules into the tools. Then comes rollout of tools such as Claude and Microsoft Copilot, with training so people use them well.

AI is most useful when it is connected to the systems a business already runs. AHDS builds custom agents and Model Context Protocol (MCP) integrations that let AI work with real business data under the same access controls as everything else. Every change an agent proposes stays under human review.

The same practical approach applies to automation. Recurring work such as data entry, reporting, and account setup becomes reliable workflows, and data pipelines feed an AI front end so people can ask questions in plain language. The scope follows the business need, from a small utility to a custom application.

AI depends on a sound foundation, so AHDS also handles the IT underneath it: Microsoft 365 and Google Workspace, servers, networks, devices, security, and backup. Permissions and data get cleaned up before AI tools are turned on, not after.

AHDS also develops and maintains its own mobile software, including cross-platform development, store distribution, and compatibility updates over the life of a product. Our case studies show this work in practice: AI rollouts, agents in production, automation, and infrastructure built around real operational needs.

Platforms & Tools

AI & Data

ClaudeCopilot StudioMCP ServersAgent DesignAI Policy & GovernanceData PipelinesSnowflake

Automation & Scripting

PowerShellPythonBashPower AutomateGraph APIREST APIsWebhooks

Software & Apps

FlutterTypeScriptNode.jsAstroSupabaseDockerGitCloudflare

Business Platforms

Microsoft 365Exchange OnlineSharePointTeamsEntra IDIntuneGoogle Workspace

Infrastructure

Windows ServerActive DirectoryHyper-VNetworkingVeeamDNS/DHCPAzure
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Our Values

Built to Last

Clear architecture, tested changes, and documented operation keep systems maintainable as requirements evolve.

Visible Operation

Useful logs, health checks, and actionable alerts make failures easier to understand and resolve.

Deliberate Scope

Product decisions balance usefulness, complexity, and the effort required to maintain the result.