Ops runbooks that actually run.
Automate the messy work between systems and teams. Flyps unifies the tools, data and AI leverage your operations team needs β so operators ship faster, leaders forecast with confidence and every workflow is instrumented for measurable business impact.
Overview
Why operations teams choose Flyps.
Operations teams operate at the intersection of many systems β CRM, ticketing, warehouse, marketing tools β and are usually asked to deliver more with the same headcount. Flyps consolidates that stack and adds AI leverage in the workflows where it matters, so the team spends less time in tools and more time on outcomes.
The result is a shared operating layer for operations: grounded, on-brand AI that respects your policies; automations that handle exceptions instead of breaking on them; and dashboards leadership actually uses because they answer real business questions.
4Γ
faster time-to-value
5+
tools consolidated
99.99%
uptime
SOC
2 Β· HIPAA Β· ISO
The challenges
What teams like yours struggle with.
Fragmented tools
Every function runs its own point solutions with no shared context.
Slow to ship AI
AI projects stall between prototype and production for months.
Governance gaps
No unified way to enforce policy, privacy or brand consistency.
How Flyps solves it
One platform, purpose-built for operations.
Unified platform
One system of record so every workflow shares data and identity.
Ship in days
Reusable building blocks let teams launch AI features in an afternoon.
Trust built in
Central policy, audit and BYO key controls across every product.
Recommended products
Your Flyps starter kit.
Technology
The technology stack behind Operations.
Every Flyps deployment for operations runs on the same production-grade primitives β proven at scale in regulated industries, engineered for portability and instrumented end to end.
- Warehouse-native execution on Snowflake, BigQuery, Databricks and Postgres
- Model routing across OpenAI, Anthropic, Google and self-hosted providers
- Typed function calling to 300+ integrations with JSON Schema validation
- Retrieval-augmented generation with hybrid vector and keyword search
- OpenTelemetry-native traces, evals and replay for every AI action
- SAML SSO, SCIM, row-level security and audit trails end to end
- SOC 2 Type II, ISO 27001 and HIPAA-eligible β ready for operations compliance requirements
Delivery process
How our team ships operations outcomes.
A repeatable, five-stage engagement model that puts your engineering, operations and compliance stakeholders in the loop from day one.
1
Discovery
We map the operations workflows where AI creates leverage, and the systems of record it must call.
2
Design
Reference architectures and templates tailored to your team, size and industry accelerate the design phase.
3
Build
Compose typed workflows, wire integrations and configure policy in a shared workspace your team owns.
4
Evaluate
Offline evaluation suites, canary traffic and shadow runs validate quality before customer-facing rollout.
5
Deploy
Staged rollouts and full-fidelity observability let on-call scale confidently from one team to the org.
Expected results
Business impact you can measure.
What operations teams typically achieve in the first two quarters on Flyps β measured against the KPIs already on your leadership dashboard.
$4.1M
in annualized ops savings
4Γ
faster time-to-value for operations workflows
5+
point tools consolidated per team
99.99%
uptime across every production workspace
Case study
$4.1M
in annualized ops savings
"We deprecated seven internal tools in a single quarter."
Marcus Chen, Head of RevOps
Client challenge
Loomis was running a fragmented operations stack β multiple point tools, disconnected data and manual handoffs β that couldn't keep up with growth or leadership's reporting needs.
Solution approach
Their team standardized on Flyps to consolidate workflows, ground AI in first-party data and instrument every step for measurable outcomes β replacing custom glue code with typed, reusable building blocks.
Technologies used
The rollout combined ai-automation, ai-workflows, webhooks on Flyps' shared runtime, integrated with the team's existing warehouse, CRM and identity provider, and governed by a central policy engine.
Development process
Discovery mapped the top three operations workflows; reference architectures accelerated design; offline evaluations validated quality before a staged rollout with canary traffic and full observability.
Business impact
Within one quarter, Loomis reached $4.1M in annualized ops savings β while retiring multiple internal tools, cutting operational cost and freeing the team to focus on higher-leverage work.
Benefits
What you'll ship with Flyps.
The six outcomes operations leaders report most often after standardizing their team on Flyps.
Consolidate the stack
Retire 4β7 point tools your operations team is stitching together today.
Ship faster
Launch AI-powered workflows in an afternoon using typed building blocks instead of custom code.
Governed by design
Central policy, audit and role-based access across every action β no manual review bottlenecks.
Measurable outcomes
Every workflow is instrumented against business metrics your leadership already tracks.
Human-in-the-loop where it counts
Sensitive actions route to approvers with full context β no more Slack DMs for context.
Portable and open
Bring your own models, warehouse and identity provider β no vendor lock-in.
Integrations
Fits into the stack you already run.
FAQ
Common questions.
The questions operations leaders, engineering managers and security reviewers ask most often β with detailed answers on process, technology, timelines and compliance.