AI-Augmented Software

Useful intelligence, built into the workflow.

AI creates the most value when it helps people inside the systems they already use. Pillar integrates intelligent search, assistance, analysis, reporting, and automation into enterprise applications where those capabilities can remove friction and improve decisions.
The technology supports the work. Your people retain the judgment, context, and responsibility.

Built into the applications you already run
What Pillar integrates

A model is not the hard part

Most organizations can get a demonstration working quickly. What stalls is everything after: where it runs, which systems it is allowed to read, who signs off on an answer, and who operates it once the project team moves on.

Pillar integrates intelligent search, assistance, analysis, reporting, and workflow automation into enterprise applications. Not every capability belongs in every application, and we say so before it is built.

Where does it runRegion, tenancy, and network boundary are the first questions security asks, and the last ones a demo answers.
What is it allowed to seeWiring a model to your identity provider and access systems is the difference between a prototype and a deployment.
Who operates it afterwardsWithout runbooks and an evaluation loop, the first bad answer becomes a reason to switch it off.
Outcomes

Where it creates value

Find information fasterSurface relevant records, documents, and operational knowledge without forcing users to search across disconnected systems.
Turn activity into insightHelp teams understand patterns, summarize information, and make operational data easier to act on.
Reduce repetitive effortApply intelligent assistance and automation to routine tasks while keeping important decisions under human control.
Accountability

Responsible by design

An incident report is a legal record and a key log is evidence. Controlled access, evaluation, monitoring, and human review are part of how a capability ships — and people remain responsible for consequential decisions.

DraftingHelp a person write the report faster, in their own words, with the fields they forgot surfaced.
RetrievalFind the four visits that look like the one being investigated, across records a person could not scan by hand.
Not adjudicationIt does not decide what happened, and nothing enters the record without a named person committing it.
A real application

AI-powered Cognitive Search in portal applications

Cognitive Search is the capability Pillar ships today: where enabled, it lets users ask natural-language questions and find relevant information across approved portal content they are authorized to access. Other capabilities described on this page are in development or used internally, and we identify which is which before an engagement begins.

Read the AiResource note
Designed for your environment

One architecture is not right for every organization.

Deployment, hosting, access, and integration decisions are selected according to the customer’s systems, security requirements, and operating environment. Pillar does not present one architecture as universal.

Decided per engagement
Deployment and hostingSelected around the customer’s systems and security requirements.
Access and permissionsWho may ask, and what the answer is allowed to draw on.
IntegrationWhich supported systems the capability is permitted to read.
Evaluation and monitoringHow the capability is tested before rollout and watched afterwards.
How Pillar works

AI is a decision, not a default.

Every capability starts as a question about the workflow, and it is allowed to stop there.

1 Identify the workflow and operational need Start with the work and the people accountable for it.
2 Determine whether AI is appropriate If something simpler solves it, we say so.
3 Prototype the capability in context Build it inside the real workflow rather than beside it.
4 Validate it with the people responsible for the work The team that has to defend the output decides whether it is good enough.
5 Deploy, monitor, support, and improve it Keep watching it once it is live.

Start with the workflow, not the model.

Tell us what your team retypes every day and which systems hold the answer. If something off the shelf solves it, we will tell you that instead.