Google Cloud Premier Partner Elastic Generative AI Partner 70+ certified engineers On-prem delivery patterns

AI is changing healthcare and life sciences. SquareShift helps you turn it into working products.

We build workflow automation, governed analytics, document search, observability, and platform engineering for clinical, payer, and life-sciences teams.

Clinical, payer, and life-sciences workflows Human review and audit trail designed in On-prem, VPC, and restricted-network constraints Search, BI, AIOps, and AI engineering
02AI workflow automation

Automate everything around the decision. Leave the decision with the reviewer.

We build AI workflows that collect evidence, run checks, route exceptions, and record who reviewed what.

AI workflow automation

The work around review is the work we automate.

Evidence gathering, rule checks, routing, summaries, approvals, and records. The person who must decide still decides.

Prior authorization

Decision-ready packets

Pull policy rules, clinical notes, attachments, and prior cases into a packet a clinician can review.

Medical coding

Coding exception queues

Read documentation, propose codes, flag conflicts, and route ambiguous claims to trained coders.

Utilization review

Evidence assembled before review

Organize clinical evidence, benefit rules, and reviewer notes before a decision reaches the queue.

Quality

Measure remediation workflow

Detect missing documentation, assign follow-up, and keep the remediation record tied to the measure.

Member operations

Case work routed cleanly

Classify member requests, gather facts from systems, and send complex exceptions to the right team.

Compliance

Audit trail at each step

Record inputs, outputs, approvals, and handoffs so the process can be inspected later.

03Decision intelligence and conversational BI

Leaders should not wait on a custom report to ask a simple question.

Plain-English questions connect to approved data models, permissions, definitions, and source citations.

Decision intelligence and conversational BI

Ask in plain English, get the governed number.

Answers come from governed models, not disconnected extracts or one-off reports.

Clinical operations

Capacity and throughput answers

Ask about census, lab turnaround, bed utilization, and bottlenecks against approved data definitions.

Quality

Measure definitions shown

Return the metric, the definition, and the source logic used to calculate the quality number.

Revenue cycle

Denial and coding insight

Show denial patterns, documentation gaps, and coding queue movement without waiting for a custom report.

Provider operations

Network questions answered safely

Respect site, specialty, contract, and region permissions when leaders ask about provider performance.

Research

Governed cohort exploration

Let approved users explore cohorts and trial operations data through controlled semantic models.

Executive reporting

One number with lineage

Make the same operational number traceable across dashboards, chat answers, and board reporting.

04BI migration and data platform work

Move the reporting without reopening the argument about definitions.

We modernize reporting foundations, migrate legacy BI into Looker, and validate critical dashboards before clinical, quality, financial, or research teams switch over.

BI migration to Looker

Validated in parallel before anyone switches over.

Dashport assesses, translates, migrates, and assures BI assets moving into Looker, with parallel validation visible before cutover.

Clinical reporting

Definition cleanup first

Resolve conflicting definitions for encounters, bed days, cases, and service lines before migration.

Quality reporting

Measure parity checked

Compare existing dashboard output against migrated Looker output before a team relies on it.

Revenue cycle

Legacy dashboard inventory

Assess duplicate, stale, and high-risk dashboards before moving reporting into a governed model.

Research operations

Controlled access models

Carry cohort, site, protocol, and sponsor access rules into the new analytics experience.

Leadership

Migration scope made visible

Show report inventory, complexity, validation status, and cutover readiness in one program view.

Partner reporting

Embedded Looker views

Give payer, provider, or network partners governed reporting inside a portal experience.

05Document intelligence and search

The passage that justifies the decision is buried in a controlled repository.

We build permission-aware retrieval, document search, and AI answers across clinical, operational, compliance, provider, and research content.

Document intelligence and search

Find the policy, passage, record, or study that matters

The answer comes back with the source passage the reviewer can open and check.

Clinical policy

Guideline passages found fast

Retrieve the exact passage that supports a review decision, with the original document attached.

Prior cases

Similar history surfaced

Search prior authorizations, appeals, and case notes by meaning, not only by keywords.

Research

Literature and protocol search

Find protocol details, publications, trial documents, and adverse-event references with citations.

Compliance

Permission inside retrieval

Apply document, field, site, and role permissions before ranking and answer generation.

Provider support

Policy answers with sources

Give support teams one cited answer from plan policy, contract terms, and operating manuals.

Audit

Evidence package assembled

Collect the source documents, search result, prompt, and reviewer action into a durable record.

06Observability and AIOps

The ward should not be the first place an outage shows up.

SquareShift builds Elastic observability for mixed healthcare estates: logs, metrics, traces, SNMP, syslog, dashboards, alerts, anomaly detection, and restricted-network deployments.

Observability and AIOps

One view across clinical systems, network, security, and apps.

We connect telemetry across clinical systems, network devices, security tools, and applications, so operational risk shows up before it becomes a blind spot.

Clinical systems

Outage risk seen earlier

Monitor patient, staff, and operational systems before a failure reaches the ward or call center.

Network operations

Mixed protocols unified

Bring SNMP, syslog, infrastructure, endpoint, and application telemetry into one operating view.

Security

Signals tied to operations

Correlate security and operational events so teams can see blast radius and response state.

Compliance

Evidence retained for review

Keep dashboards, alerts, actions, and telemetry history inspectable for operations and audit teams.

On-prem constraints

Runs where data can sit

Deploy on-prem, in a client cloud tenancy, or in restricted networks when data movement is limited.

AIOps

Alert noise reduced by context

Use anomaly detection and correlation so teams can separate degradation from duplicate noise.

07AI-led app and platform engineering

Build the workbench, the portal, or the integration layer with senior engineers who own what ships.

For healthcare CIOs, clinical systems leaders, and engineering teams: apps, internal tools, integration layers, and workflow platforms, built with AI-native engineering.

Vanguard Teams

Committed delivery for scoped builds

A SquareShift team builds a proof of concept, MVP, and production path for typical builds with senior engineering ownership and release evidence produced as the work moves.

Embedded enablement

Help your own engineers use AI responsibly

We work with your team on AI-assisted delivery practices, review patterns, secure usage, target operating model, and the governance needed for validated environments.

Forward Deployed Engineers

Senior builders embedded with operations

A senior engineer works beside clinical, payer, quality, or operations teams and ships against the real systems, data access rules, and review workflows already in place.

08AI observability for technical buyers

Your engineers already use AI. So do the copilots in your workflows.

Compass AI covers the engineering teams using AI coding tools. Atlas AI covers the AI applications already running in clinical and member workflows.

Compass AI

Observe AI-assisted software engineering

Compass AI shows AI coding tool usage, cost, security exposure, compliance evidence, and adoption patterns across engineering teams using tools such as Codex, Claude, Cursor, and IDE assistants.

  • Track AI spend by team, tool, model, and usage pattern.
  • See who used AI to create code that enters validated systems.
  • Flag secrets, customer data, or policy violations in prompts.
  • Use the Elastic deployment and skills your team already runs.
Atlas AI

Observe AI applications already in healthcare workflows

Atlas AI applies the same control model to shipped AI applications: clinical copilots, prior-authorization assistants, member chatbots, coding support tools, and research assistants.

  • Track cost, prompt operations, answer quality, and model behavior by application.
  • Show what data an AI workflow touched and what it returned.
  • Support prompt review, prompt versioning, and optimization work.
  • Keep security and compliance visibility tied to production AI usage.
Next step

Bring us the workflow where speed and review are still fighting each other.

Talk to SquareShift