Google Cloud Premier Partner Elastic Generative AI Partner 70+ certified engineers Banks, insurers and capital markets

AI is changingBFSI. SquareShift is the right partner to help you turn that change into working products.

We build workflow automation, decision intelligence, search, observability, and production software for banks, insurers, and capital-markets teams — inside the risk reviews, audit trail, and change windows you already work under.

Risk reviewDelivery planned around approvals, control evidence, and sign-off. Audit trailAutomated work records the decision, owner, source, and change. Outage windowCutovers are sequenced for banking release calendars. Data lineageRisk, finance, and product trace numbers to the source.
01 Delivered in banking

In banking the hard part is not the build. It is proving the change is safe before it ships.

We have delivered data platforms, incident automation, trade recommendation systems, search modernization, security monitoring, and Elastic operations inside that constraint.

Google Cloud Premier Partner Google Cloud Data Analytics specialization Google Cloud Machine Learning specialization Looker Consulting Partner Elastic Generative AI Partner Elastic Partner Claude Certified Architect
Data platforms for investment banks A single investment-management data lake unified financial, economic, and research data across asset classes.
1.9M duplicate incident tickets cleared Incident operations were automated end to end inside a top-tier US financial institution.
Monitoring that holds at bank volume Pipelines carrying 50M+ daily events were standardized; a 24-node finance cluster was stabilized.
02 AI workflow automation

Clear banking queues while keeping control evidence.

AI Agentic Workflows automate repeatable banking work across onboarding, fraud review, lending, claims, operations exceptions, and incident queues while preserving human approval.

AI workflow automation

Automate the queue. Keep the approval.

We map the workflow, automate repeatable work, connect the systems, and keep human approval where banking policy requires it.

01

Client onboarding packs

Collect know-your-customer files, extract fields, flag gaps, and route exceptions to the analyst.

02

Anti-money-laundering review

Assemble alert context, prior case history, transaction notes, and reviewer actions in one record.

03

Credit file preparation

Pull statements, covenant evidence, exposure data, and policy checks before the credit officer opens the file.

04

Claims and fraud evidence

Gather documents, images, notes, and model signals so claims teams review the exceptions first.

05

Operations exception queues

Classify breaks, assign ownership, update source systems, and preserve the decision trail.

06

Incident-ticket cleanup

Automate incident creation, deduplication, metadata stamping, and closure sync across monitoring tools.

03 Decision intelligence and conversational BI

Give business teams answers from approved numbers.

Decision Intelligence and Conversational BI let risk, finance, operations, trading, fraud, and client-servicing teams ask plain-English questions against governed banking data.

Decision intelligence and conversational BI

Plain-English questions, governed answers.

We build plain-English analytics experiences on governed data so users can ask questions and see how the answer was derived.

01

Exposure by desk

Ask for exposure by desk, counterparty, region, or asset class without waiting for an analyst queue.

02

Intraday liquidity view

Surface cash, settlement, and funding movements from governed reporting layers with permission checks intact.

03

Margin and product reporting

Let product and finance teams ask about margin movement and reconcile the answer to published numbers.

04

Risk committee preparation

Generate briefing views from approved risk, finance, and operations data with the supporting path attached.

05

Fraud operations status

Ask which alert types, regions, or queues are moving and which need investigation capacity.

06

Client servicing analytics

Give relationship managers controlled access to product, service, and revenue signals for their accounts.

04 BI migration and data platform work

Move reporting to Looker without losing trust.

SquareShift settles banking definitions, lineage, validation, and reporting ownership before using Dashport and data-platform delivery to move legacy BI into Looker.

BI migration and governed data platforms

Settle the definitions before you move the dashboards.

We settle definitions, lineage, and validation before cutover, then use Dashport to move legacy BI into Looker with parallel checks.

01

Golden source definition

Align risk, finance, product, and operations on the metric definitions before dashboards move.

02

Data lineage and audit

Trace reported figures through calculations, transformations, and system-of-record sources.

03

Investment data lake

Unify financial, economic, research, market, and internal data across asset classes.

04

Legacy BI cutover

Move Tableau, Qlik, Cognos, or similar reporting into Looker with validation before release.

05

Dashboard rationalization

Find duplicate, stale, and conflicting reports before they become the new Looker estate.

06

Real-time analytics foundations

Support payment monitoring, fraud signals, trade surveillance, and intraday risk on current data.

06 Observability and AIOps

Catch service problems before customers or regulators do.

Observability and AIOps unify banking telemetry, security signals, synthetic checks, anomaly detection, and incident context across cloud and on-prem platforms.

Observability and AIOps

One operating view across cloud and on-prem.

We unify logs, metrics, traces, security signals, and synthetic checks so financial-services platforms can operate through audit and peak load.

01

Cloud and on-prem telemetry

Bring cloud, on-prem, network, endpoint, application, and batch telemetry into one operating view.

02

Bank-volume log pipelines

Audit and standardize pipelines carrying more than 50 million daily events through Logstash.

03

Machine-learning alerting

Use anomaly detection to surface unusual behavior that fixed thresholds and static dashboards miss.

04

Security monitoring

Run Elastic security monitoring for SOC 2 evidence, endpoint coverage, and multi-cloud alerting.

05

Change-window readiness

Use health checks, snapshots, dashboards, and rollback evidence before production release windows.

06

Automated triage

Attach asset metadata, severity, owner, and likely cause to incidents before teams start investigation.

07 AI-led app and platform engineering

Modernize banking platforms without waiting for a hiring cycle.

For technology leaders who need working software, platform modernization, and AI-capable engineers under real banking constraints.

Offer

Vanguard Teams

A fixed team builds a proof of concept in a week, an MVP in a month, and production in three months for typical builds.

Explore software engineering →
Offer

Embedded AI enablement

We work with your own engineering team to assess AI use, define the operating model, and scale safe adoption.

Explore enablement →
Offer

Forward Deployed Engineers

A senior engineer embeds with business or operations teams and ships against real systems, data, and controls from day one.

Explore embedded delivery →
08 Technical buyer offers

Your engineers already use AI. The cost, the exposure, and the compliance record are harder to see.

Compass AI covers the engineering teams using AI coding tools. Atlas AI covers the AI applications you have already shipped.

Offer

Compass AI

Compass AI shows what AI coding tools cost, who uses them, what code they helped write, and where security or compliance risk appears.

  • Cost and adoption dashboards for AI-assisted software engineering.
  • Risk views for secrets, regulated data, and unsafe code paths.
  • Built on the Elastic deployment and skills your team already runs.
Offer

Atlas AI

Atlas AI gives application teams visibility into AI app cost, prompt operations, security exposure, answer quality, and compliance controls.

  • Cost, security, and quality observability for chatbots, copilots, and agent apps.
  • Prompt Workbench support for prompt review, versioning, and optimization.
  • Discuss Atlas AI with SquareShift when AI applications need shared operating visibility.
Start here

Bring us the banking workflow, report, or search that is costing you the most time right now.

We will work through the data, the controls, the release path, and what can realistically ship first, with your business and technology teams.

Talk to SquareShift