AI should make the operation simpler.
We start with the result your business needs. Then we map the work and controls needed to reach it.
applied AI + data science consultancy
AI that creates measurable value.
We find where AI can create value. We build and improve the right systems. Then we help your team run them with confidence.
Prior individual experience and cohort participant employers — not modalis clients, partners, or endorsements.
AI opportunity audit
See where AI can create real value.
We review how your teams work and what systems they use. Then we rank each AI opportunity by value and effort. We also check risk and readiness.
leaves behindan evidence-backed AI roadmap
AI performance
Make existing AI cheaper, faster, and more reliable.
We measure cost and speed. We find failures and weak controls. Then we improve what needs attention.
leaves behinda cost, performance, and governance plan
Fit AI around how your business works.
We connect it to the tools and data your team uses. Your approvals and controls stay in place.
AI implementation
Build systems people can use and trust.
We connect AI to approved data and software. Clear access rules protect the work. Your team reviews the decisions that matter.
leaves behindproduction AI integrated into the operation
measurement
Measure cost, time, quality, and risk.
We measure the current result first. Then we agree what good looks like and track the live result.
leaves behindclear evidence of operational impact
AI enablement
Give your team the skills to run it.
We train the people who lead and use the work. Your team gets clear guides and decision rules. They can run and extend the system.
leaves behindcapability that remains inside the business
Every initiative has a clear business case.
We agree the baseline and scope before delivery. We also set the adoption plan and measures of success.
the AI delivery charter
Turn the roadmap into measurable change.
- opportunities
- prioritized
- baseline
- measured
- delivery
- scoped
- teams
- enabled
- impact
- tracked
AI should make the operation simpler.
We start with the result your business needs. Then we map the work and controls needed to reach it.
AI opportunity audit
See where AI can create real value.
We review how your teams work and what systems they use. Then we rank each AI opportunity by value and effort. We also check risk and readiness.
an evidence-backed AI roadmapAI performance
Make existing AI cheaper, faster, and more reliable.
We measure cost and speed. We find failures and weak controls. Then we improve what needs attention.
a cost, performance, and governance planFit AI around how your business works.
We connect it to the tools and data your team uses. Your approvals and controls stay in place.
AI implementation
Build systems people can use and trust.
We connect AI to approved data and software. Clear access rules protect the work. Your team reviews the decisions that matter.
production AI integrated into the operationmeasurement
Measure cost, time, quality, and risk.
We measure the current result first. Then we agree what good looks like and track the live result.
clear evidence of operational impactAI enablement
Give your team the skills to run it.
We train the people who lead and use the work. Your team gets clear guides and decision rules. They can run and extend the system.
capability that remains inside the businessEvery initiative has a clear business case.
We agree the baseline and scope before delivery. We also set the adoption plan and measures of success.
the AI delivery charter
Turn the roadmap into measurable change.
AI delivery charteragreed before delivery
- opportunities
- prioritized
- baseline
- measured
- delivery
- scoped
- teams
- enabled
- impact
- tracked
delivery gateapproved · work begins
one accountable delivery team
From AI opportunity to operational impact.
One senior team handles the audit and delivery. We improve the systems and help your people use them. Your team keeps control.
- 01auditvalue + readiness
- 02enableleaders + teams
- 03operationalizesystems + adoption
- 04improvecost + performance
ownershipsystems · skills · evidence · ownership
For select founding engagements: pay after acceptance.
- implementation
- fee due after the written acceptance test passes
- performance
- separate, capped, and measured live where agreed
The people you meet build the system.
modalis applied lab
We build our own systems too.
Our working Mac app explores source-grounded AI that runs locally. It combines bounded tools with visible evidence and clear review. Client work applies the same method to real operations.
deploymentlocal by defaultevidencesource-groundedreleasein development
[ before you book ]
What buyers ask first.
01What happens on the 25-minute discovery call?
The call is free. We learn how your business works and discuss your AI priorities. Then we identify what may be worth a closer look.
02Who owns the code, data, and IP?
You do. We deploy the work in your cloud and your code repositories. We hand over the code and operating guides. You keep control after the engagement ends.
03What does it cost?
The discovery call is free. We scope any deeper assessment before work starts. The proposal lists each fee and outside cost. It also states how we measure acceptance and live results.
04How quickly can you deliver?
The timeline depends on the work. A focused pilot may reach its test within weeks. A full audit or wider change takes longer. We set the timeline after discovery.
05How do you handle our data?
We work inside your cloud and use your access controls. Some work can run on hardware you own. We do not use your data to train models for anyone else.
06How are you different from a big consultancy?
One senior team handles the audit and the build. A founder works on every engagement. We deliver with your team and leave them ready to run the work.
07We already use ChatGPT or Claude. Why do we need you?
ChatGPT and Claude are tools. The value comes when AI joins the work your team already does. We connect it to your data and systems. We also add the controls and measures it needs.
08What if the system doesn't work?
Every pilot has a written test based on real examples. We also track a separate live measure. The contract states the evidence and timing. It also sets any limits and fees.
[ begin ]
Find where AI can create the most value.
[ free discovery call ]
Twenty-five minutes to understand your AI priorities.
A free first conversation about where AI could create value. We discuss cost and time. We also look at performance and team capability.
what we discuss
- 01your priorities and current AI use
- 02where cost, delay, or risk sits
- 03what may be worth investigating further