Flyps
By Team Β· Sales

The AI-native sales platform.

Prospect, close and forecast with an AI copilot on every rep's shoulder. Flyps unifies the tools, data and AI leverage your sales team needs β€” so operators ship faster, leaders forecast with confidence and every workflow is instrumented for measurable business impact.

Overview

Why sales teams choose Flyps.

Sales 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 sales: 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 sales.

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.

Technology

The technology stack behind Sales.

Every Flyps deployment for sales 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 sales compliance requirements

Delivery process

How our team ships sales 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 sales 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 sales teams typically achieve in the first two quarters on Flyps β€” measured against the KPIs already on your leadership dashboard.

48%

increase in win rate

4Γ—

faster time-to-value for sales workflows

5+

point tools consolidated per team

99.99%

uptime across every production workspace

Case study

48%

increase in win rate

Vertex Bio
"Every rep has a copilot that briefs them before every call."

Amelia Okafor, CRO

Client challenge

Vertex Bio was running a fragmented sales 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-agents, ai-chat, ai-workflows 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 sales workflows; reference architectures accelerated design; offline evaluations validated quality before a staged rollout with canary traffic and full observability.

Business impact

Within one quarter, Vertex Bio reached 48% increase in win rate 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 sales leaders report most often after standardizing their team on Flyps.

Consolidate the stack

Retire 4–7 point tools your sales 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.

SLSlack
SASalesforce
HUHubSpot
ZEZendesk
SESegment
SNSnowflake
BIBigQuery
NONotion
GIGitHub
STStripe
INIntercom
AMAmplitude

FAQ

Common questions.

The questions sales leaders, engineering managers and security reviewers ask most often β€” with detailed answers on process, technology, timelines and compliance.

Ready when you are

Build the sales playbook of tomorrow.