eazyware

SaaS

AI copilots inside your product.

Problems we solve
  • Customers expect AI-native features
  • Competing with AI-first startups
  • Feature velocity pressure
Systems we build
  • Copilots inside dashboards
  • Feature enhancement with LLMs
  • White-label AI modules
Industry benchmarks

What AI is actually doing for saas right now.

Numbers from our production systems — not vendor marketing.

Metric / 01
0%

Feature adoption lift after copilot launch

avg across 12 clients
Metric / 02
0×

Time-to-value acceleration

from pilot to production
Metric / 03
0%

NRR lift attributed to AI features

year over year
Metric / 04
0M

API calls per day served at p95 <50ms

top quartile clients
Common projects

What we usually build for saas teams.

Reference timelines and investment ranges. Every engagement is scoped to your reality.

/ 01 · Project type

In-product AI copilot

+27% feature adoption

Conversational assistant embedded in your SaaS dashboard with contextual actions.

Timeline
8–12 wks
Investment
$80k–150k
LLMRAGStreaming
/ 02 · Project type

Natural language data querying

3× analyst throughput

Let users ask questions of their data in plain English with typed SQL generation.

Timeline
6–10 wks
Investment
$60k–120k
Text-to-SQLVector
/ 03 · Project type

AI-powered onboarding

-42% onboarding drop-off

Personalized setup flows that reduce time-to-first-value by analyzing user intent.

Timeline
4–6 wks
Investment
$40k–80k
ClassificationRouting
/ 04 · Project type

White-label AI module

New revenue stream

Packaged AI features your enterprise clients can deploy into their own instance.

Timeline
12–16 wks
Investment
$150k–300k
Multi-tenantSDK
Ecosystem

We integrate with what you already run.

19+ integrations across 4 categories, specifically for saas. Don't see yours? We've probably built it.

01 / CRM & CS
5
SalesforceHubSpotIntercomZendeskPipedrive
02 / Data
5
SnowflakeBigQueryPostgresClickHouseDatabricks
03 / Product
4
SegmentAmplitudeMixpanelPostHog
04 / Auth & Ops
5
OktaAuth0WorkosPagerDutyDatadog
Custom integrations by request · 2 week typical build
Proof point

feature shipping velocity

/ Featured case

An AI copilot that cut reconciliation time by 74%

We embedded a multi-model copilot into Ledgerly's reconciliation dashboard. Natural language queries, automated exception handling, one-click audit trails.

Read the case →
/ Next step

Ready to build for saas?

Book a call and we'll walk through what's shipped well in your vertical.

~4h
avg response
Q2 '26
next slot
100%
NDA on request