DriftGuard

Why this exists

DriftGuard is for teams and operators who feel like work keeps leaking through the gaps: promises in chat disappear, decisions get re-opened, updates are noisy, and risky automations run without enough control.

The goal is simple: fewer dropped commitments, clearer decisions, and confident automation with the right guardrails.

What DriftGuard actually does

• Commitment tracking — captures commitments from daily working channels and keeps them visible until closed.
• Decision memory — stores key decisions with rationale and source context to reduce repetition and conflict.
• Role-based briefings — creates practical daily updates for operators, managers, and delivery leads.
• Workflow drift detection — flags when real execution drifts from intended process before it becomes expensive.
• Risk-gated automation — applies policy checks and approval gates to sensitive external actions.

Security and model strategy (local vs internet-based)

Local-first by default: DriftGuard can run core workflows through local/internal models (for example via LM Studio and Ollama) for privacy-sensitive operations.

Cost advantage: local models are free to host on your own infrastructure (no per-token API billing), which makes them ideal for high-frequency internal workflows.

Internet-based models are optional: external APIs are used only when explicitly allowed by policy, with minimised payloads, redaction controls, and approval boundaries.

• Data minimisation before model calls
• Sensitive field redaction for protected workflows
• Connector-level access scoping
• Approval gates for external/public/destructive actions
• Audit-friendly action and model routing trail

Planned integrations and platform support

DriftGuard is designed to integrate with the systems teams already use:

• Messaging: Slack, Discord, Telegram, WhatsApp, Signal
• Delivery: GitHub, Jira, Linear, CI pipelines
• Knowledge: docs, runbooks, markdown repos, wiki pages
• Operations: cron jobs, incident feeds, validation/reporting loops

GitHub Slack Discord Telegram Jira Docker

Who this is for

• Start-ups and scale-ups that need to move fast without losing control of commitments and delivery quality.
• Founder-operators handling too much cross-channel context.
• Ops and delivery leads who need cleaner signal and stronger follow-through.
• Engineering managers balancing speed, quality, and operational risk.
• Teams adopting AI agents that need practical control and accountability.

DriftGuard is especially useful for start-ups where the same people are juggling product, operations, customer communication, and delivery at once.

What outcomes to expect

• Less commitment leakage and fewer dropped follow-ups.
• Reduced rework from decision drift and context loss.
• Higher confidence in automation through explicit risk controls.
• More useful briefings with less operational noise.

FAQ

Is DriftGuard local-first?

Yes. DriftGuard is designed local-first and can run core workflows on internal models, with internet-based models optional under policy.

Do local models reduce costs?

Yes. Local models are free to host on your own infrastructure and avoid per-token API costs for high-frequency internal workflows.

Which platforms will DriftGuard support?

Planned integrations include Slack, Discord, Telegram, WhatsApp, GitHub, Jira, Linear, and documentation/runbook systems.

How does DriftGuard handle security?

DriftGuard uses minimised payloads, redaction controls, scoped connector access, approval gates for sensitive actions, and audit-friendly traceability.

Concept interest

If this matches your priorities, register interest and we will follow up with an implementation fit assessment.