Industries

Built for the industries that run on queues, approvals, and repeat work

We help fintech, compliance, and operations-heavy teams turn slow manual workflows into fast, reliable AI systems — without ripping out the tools they already use.

Based in the UAEBuilt for compliance workflowsPilot-first, then scale

Why these industries first

The common thread: high-stakes, repeatable work

We focus on workflows where speed, consistency, and auditability matter — because that's where AI automation delivers the clearest return.

Queue pressure

Work piles up in queues

Approval queues, document checks, and routing eat hours every week. We automate the repetitive parts so your team handles exceptions, not every ticket.

AML/KYCSupport ticketsOnboarding

Compliance stakes

Mistakes are expensive

In regulated workflows, consistency matters. We keep human checkpoints where risk lives and build an audit trail around everything else.

Audit trailsHuman-in-the-loopRisk controls

Pilot-friendly

Prove value in weeks

We start with one workflow, measure the outcome, and expand. No six-month roadmap required.

Pilot-firstMeasurable ROIScalable

Industries we serve

See your workflow. See the fix.

Each panel shows the friction we see most often and how we shape a pilot around it.

Here is how we think about this vertical — what slows teams down, where we focus first, and what a pilot usually looks like.

Common pain points

  • Analysts re-typing details from IDs, licences and statements
  • Policy checks done by eye, and done differently by each reviewer
  • Edited or forged documents that are hard to spot in a busy queue
  • Onboarding queues that grow faster than the team

How TwoApps helps

  • Document field extraction that pulls names, numbers and dates straight into your workflow
  • Policy cross-checks that compare each file against your own onboarding rules
  • Spoof and forgery heuristics that flag documents for a closer look
  • A prepared file for the analyst, with a record of what was checked

Typical automations

Account-opening document intake and field extractionPolicy cross-checks against your onboarding rulesForgery and tampering flags for analyst reviewCase summary drafts for escalations
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Here is how we think about this vertical — what slows teams down, where we focus first, and what a pilot usually looks like.

Common pain points

  • Clinicians typing notes instead of talking to patients
  • Long clinical forms filled in by hand after every visit
  • Notes written differently by every clinician
  • Documentation gaps found after filing, not before

How TwoApps helps

  • AI transcription that turns a spoken visit into structured notes
  • AI narration that fills the right form fields from what was said
  • AI review that flags gaps and inconsistencies before a record is filed
  • One clinical form framework that works the same on web and mobile
  • Clinicians stay in charge of what goes into the record

Typical automations

Visit recording to structured note draftForm filling from a narrated visit summaryPre-filing documentation review with gap flagsShared form templates across web and mobile
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Here is how we think about this vertical — what slows teams down, where we focus first, and what a pilot usually looks like.

Common pain points

  • Website leads land in an inbox and wait
  • REO reimbursement claims, BPOs and vendor paperwork done by hand
  • Repairs, HOA items and deadlines tracked across spreadsheets and email
  • No single view of what's due, who owns it and what's late

How TwoApps helps

  • Public property search on your website that captures leads and routes them to the right agent
  • A back-office CRM built around how your agency actually works
  • REO claims, BPOs, vendors, repairs, HOA and deadlines in one system, with AI reviewing each item
  • Run it all from one dashboard, or from Claude or ChatGPT through one MCP server
  • Digital marketing run by the same team that builds the system

Typical automations

Website property search to lead capture and follow-upREO reimbursement claim tracking with AI reviewDeadline and HOA reminders for every open fileAsking Claude "what's due this week?" and getting the answer from your CRM
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Here is how we think about this vertical — what slows teams down, where we focus first, and what a pilot usually looks like.

Common pain points

  • An ageing app that's slow to change and hard to hire for
  • Order, stock and customer data scattered across legacy systems
  • Reports pulled together by hand every week
  • Repeat ops work: catalogue updates, customer queries and order exceptions

How TwoApps helps

  • One Flutter app for iOS and Android, rebuilt to modern design standards
  • Data moved out of legacy systems into a cloud data warehouse
  • Dashboards so the team sees orders, stock and performance without asking
  • AI workflows for catalogue, support and order exceptions, with staff approving refunds and anything that touches revenue

Typical automations

Legacy database to cloud data warehouse migrationSelf-serve sales and operations dashboardsProduct catalogue drafts with review before publishingOrder exception and refund triage with staff approval
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Here is how we think about this vertical — what slows teams down, where we focus first, and what a pilot usually looks like.

Common pain points

  • Order and shipment details re-typed from emails and PDFs
  • Delays and exceptions spotted late, after customers start asking
  • Customers and internal teams getting different status updates
  • No single view across carriers, warehouses and order stages

How TwoApps helps

  • Document extraction that drafts order entries for an operator to verify
  • Exception flags that route delays to the right person early
  • Status update drafts built from your tracking data
  • One dashboard for shipments, deadlines and escalations

Typical automations

Order and invoice data extraction with completeness checksShipment exception detection and escalation routingCustoms and freight document preparation with review checkpointsCustomer status update drafts and deadline monitoring
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Here is how we think about this vertical — what slows teams down, where we focus first, and what a pilot usually looks like.

Common pain points

  • More applications than the team can screen properly
  • Candidates waiting too long for a reply
  • CV details re-typed into the ATS by hand
  • No clear view of which roles and candidates are stuck

How TwoApps helps

  • CV parsing that turns any layout into a structured candidate record
  • Screening summaries written against the criteria your recruiters set
  • Candidate update drafts that recruiters approve before they're sent
  • A pipeline view that shows stalled roles and candidates

Typical automations

CV parsing and ATS record draftsScreening summaries against role criteriaInterview scheduling reminders and follow-up draftsStage-ageing alerts for recruiters
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Here is how we think about this vertical — what slows teams down, where we focus first, and what a pilot usually looks like.

Common pain points

  • The same questions answered by hand all day
  • Different answers depending on which agent picks up the ticket
  • Tickets sitting in the wrong queue before anyone sees them
  • Support leads with no clear view of backlog and escalations

How TwoApps helps

  • Reply drafts grounded in your approved knowledge base, checked by an agent
  • Ticket tagging and routing, with unclear cases sent to a person
  • Conversation summaries so escalations don't start from scratch
  • A backlog and escalation view for support leads

Typical automations

Ticket tagging and routing to the right teamKnowledge-base reply drafts for agent reviewSummaries and handoff notes for escalationsBacklog alerts for support leads
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How we work

From messy workflow to scaled AI pilot

A simple, repeatable process that keeps risk low and learning high.

01

Audit

Understand the workflow, bottlenecks, approvals, and systems involved. Choose the best starting point first.

02

Pilot

Build one real workflow with a clear goal so you can measure value quickly.

03

Stabilize

Add monitoring, guardrails, and fallback behavior so the workflow runs reliably.

04

Scale

Expand into the next workflow or client use case without starting from scratch.

Next Step

Have a workflow that slows your team down?

Tell us the process. We'll map the first AI pilot and show you what 'shipped' actually looks like.