· Software with judgment built in

Most software watches your business. We build software that runs it.

IntelliApps designs and ships AI-native applications that take over the repetitive decisions slowing your team down — not another dashboard for someone to check.

0
MANUAL HANDOFFS · TARGET
1–5
OPSIQ SCORE RANGE
30 min
SYSTEMS AUDIT · NO COST
01 · What building AI-native means

Software designed around how your team actually decides.

Not a custom dev shop and not an off-the-shelf AI wrapper. We audit how work moves through your operation today, then build the application that carries it — with the AI doing the repeatable judgment calls, not just summarizing them.

01

Audit

We map the decisions your team makes by hand every week and score how much of that judgment could be carried by software.

02

Build

We design and ship the application — AI where it earns its place, plain logic everywhere else. No one waits on a model that doesn’t need to think.

03

Operate

We tune the system weekly against what the business returns. You keep a working application, not a proof of concept.

02 · What it feels like today

You shipped the app. The team still lives in spreadsheets.

— Dana & Priya, co-founders of IntelliApps

intelliapps://audit · saas-client · 2024→2026
$ audit --range 12-months
> reading usage logs...
> comparing shipped features vs daily active use...
FEATURES SHIPPED
↗ +180%
DAILY ACTIVE USE
→ +9%
TIME ACTUALLY SAVED
→ +14%
diagnosis : shipped ≠ adopted.
the gap is where the roi goes missing.
03 · If 3 of these 5 sound familiar
01

Your app tells people what happened. Not what to do next.

02

Adoption lives with one power user, not the whole team.

03

Every integration is a manual export, copied between tools by hand.

04

You built a dashboard to compensate for a workflow nobody actually fixed.

The gap between shipped and adopted is where AI-native design earns its keep.

04 · Our framework

One score. One next build.

The OpsIQ Score measures how ready your operation is to hand decisions to software, across 6 dimensions. Below is a real read from a 34-person field-services company.

2.6/5
INDUSTRYField Services
EMPLOYEES34
BENCHMARK2.9
POSITION18% below sector
01
Workflow Clarity
weight 20%
02
Data Readiness
weight 15%
03
Integration Depth
weight 15%
04
Automation Coverage
weight 20%
05
Team Dependency
weight 15%
06
Adaptability
weight 15%
NEXT BUILD
Auto-route incoming requests
+0.7 estimated OpsIQ impact
05 · What we see in the field

Data from audits, not a pitch deck.

2.6 / 5
Average OpsIQ score across audited companies (n=41)
~14 hrs/wk
Time spent on manual handoffs between tools
71%
Have no documented automation roadmap
52%
Already pay for an AI tool used less than weekly
−38%
Average reduction in manual steps after launch
3.1×
Faster decision turnaround post-build
06 · How we work

Three steps. Zero generic proposals.

01

30-minute systems audit

We map how your team decides today and flag the visible leaks. We tell you honestly whether we can help.

no proposal at the end
02

OpsIQ audit

All 6 dimensions scored, benchmarked against your sector, and ranked by build impact. A report that reads in 10 minutes.

03

Build & operate

We ship the top 3 recommendations and tune quarterly from there.

you keep a system, not a slide deck
07 · Why we started this
D.
“We kept watching teams buy good tools and still run the business on spreadsheets and memory. So we started building the layer in between.”

Dana Kessler · co-founder, IntelliApps

Book my audit →
08 · What we get asked

Specific questions.

It means the AI is load-bearing, not decorative. The application makes real, repeatable decisions on its own — routing, prioritizing, drafting, flagging — instead of only summarizing data for a human to act on later.

A framework we use to measure how ready an operation is to hand decisions to software, across 6 dimensions: Workflow Clarity, Data Readiness, Integration Depth, Automation Coverage, Team Dependency, and Adaptability. It returns a score from 1 to 5 and becomes the basis for what we build first.

No. The model is one component inside a system we design around your actual workflow — including the plain logic, integrations, and guardrails that make the AI reliable enough to trust with a real decision.

A dev shop builds what you spec and moves on. Off-the-shelf SaaS gives you generic workflows that don’t fit your operation. We stay through the audit, the build, and weekly tuning afterward — you get a system shaped to how your team actually works.

No. We audit the operation as it actually is. Messy data and undocumented workflows are exactly what the Data Readiness and Workflow Clarity dimensions are built to surface.

Mostly 15–200 person operating businesses with at least one real repeatable workflow worth automating. Smaller teams often don’t have enough repetition yet to justify a custom build.

We tell you honestly whether we can help and why. If yes, we scope an OpsIQ audit. If not, you walk away with a clear map of your gaps at no cost.

09 · Last step

Let’s see what your software should be doing instead.

Tell us a bit about the operation before we talk — it helps us arrive with context, and be honest if we’re not the right fit.

We reply within 24 business hours.

Thanks — we’ve got your request and will follow up within 24 business hours with the next audit slot.