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Workflow automation for UK service businesses. Created in the UK.

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  1. Home
  2. ClaimsTech 2026
ILC ClaimsTech 2026 finalist

Oneplatform.
Bothsidesoftheclaim.

If you saw us at the ILC ClaimsTech 2026 final, this is the operation behind the pitch. SwiftCase is not a chatbot and not a phone system. It is the operating system your claims run on, and it works both sides of every claim at once: lower cost for the business, a fairer and faster experience for the customer, on the same system.

Start a 30-day pilot
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SwiftCase: one platform, both sides of the claim
11.8M
Cases since 2015
40,000
Users
7
Industries, claims the deepest
10 yrs
In production

UK-hosted · Cyber Essentials certified · Consumer Duty by design

What SwiftCase actually is

Not a voicebot. The operating system claims run on.

When you hear “AI in claims”, picture the whole stack, not a voice on a phone. The hard part, the engine, the audit, the approvals, the scale, was solved and hardened long before we pointed it at a claim.

A workflow engine

A case arrives by phone, email, web, WhatsApp, or an API call from a system you already run. The platform routes it, automates it, and moves the claim forward. One customer runs 384 active workflows on it.

An immutable audit trail

Every action, every actor, every timestamp, written down as it happens. Per case, per agent, per second. Your Consumer Duty file, building itself.

An agent action layer

Switchboard agents do not just answer questions. Mid-conversation they search a case, verify identity, update a field, create a case, or draft an email for a handler to approve. They take real action inside the case.

One definition, every channel

Voice, SMS, WhatsApp, web chat and email behave identically from a single agent definition. The voice is the thinnest, most visible layer. The value is the operating system underneath it.

The spine

Every claim has two people who need it to go well

The business, carrying the cost, the cycle time and the Consumer Duty obligation. And the claimant, carrying the stress, wanting progress and fair treatment. Most technology serves one side. One platform serves both at once.

For the business

  • Indemnity captured in the first minutes, at any hour
  • Loss-adjusting expense down, with structured-first-time data
  • Cycle time cut: days out of the lifecycle
  • Consumer Duty evidence that builds itself
  • Surge absorbed without hiring

For the claimant

  • Calm, consistent first contact at the hour they need it
  • Symmetric disclosure: both sides of the evidence, every time
  • A named human owns every value and every decision
  • Clean escalation when a conversation needs a person
  • A full, defensible record of how they were treated
Read the thesis

The complexity of a real claim

The messy path, handled in the workflow

Real claims are not tidy. Watch what the platform does instead of pretending they are, with a named human in the loop and the audit trail writing itself down the side.

Incomplete data, flagged not guessed

When the detail is missing, the platform flags it rather than inventing it. No confident hallucination on a real claim.

An inconsistent timeline, caught

A timeline that does not add up is tagged as a fraud indicator and routed for review, instead of waved straight through.

A vulnerable customer, recognised

When a customer signals they are not coping, the agent slows down, softens, and routes onto the vulnerable-customer path.

A disputed total loss, escalated

An engineer sets the value before any conversation. A dispute escalates straight back to that named engineer. The AI never sets and never negotiates the value.

How the human stays in the loop

Proof, not a pitch deck

In production, at scale, today

At scale

11.8 million cases. A decade in production.

40,000 users across seven industries, claims the deepest. UK-hosted, Cyber Essentials certified. This platform has carried production load for ten years.

See customers

An insurer, today

600+ users at a specialist motor insurer

A UK specialist motor insurer in the non-standard segment, around 500,000 policies and more than 750 million pounds in gross written premium, runs email ingestion and task automation on SwiftCase.

Read the case study

Both sides, proven

70% less case-creation time at Laird

Out-of-hours intake, supplier chasing and total-loss conversations, across the whole platform rather than from one bot, with consistent first-contact quality at any hour.

Laird year in review

Build it yourself?

The AI that talks is the easy 20%

You could stand up a voicebot in a quarter. The 80% that makes it safe in front of a real claimant is a multi-year build and a permanent team. We have spent a decade on it.

The easy 20%

The conversation. A model wired to a telephony stack. It demos beautifully, and you can build it in a quarter.

The 80% that ships

Workflow engine, immutable audit, approval queues, authority limits, escalation, identity, channel parity, provider failover, per-tenant isolation. That is the platform, and that is us.

The build-versus-buy frameworkRead the argument

Your P&L

Five lines a claims operating system moves

The conversation you will have back at the office is about the P&L. Here is where the platform moves it.

Indemnity

Capture the loss in the first minutes and pull days of credit-hire duration, storage and third-party intervention out of your biggest number.

Loss-adjusting expense

Agents run every hour of the year, hundreds of conversations at once, with structured-first-time data that cuts follow-ups and rework.

Cycle time

Seventy per cent off case creation is days out of the lifecycle: a happier customer and lower spend, at the same time.

Consumer Duty

Every value human-set, every disclosure symmetric, every action logged to a named owner. The evidence file already exists.

Resilience

Scale sideways through a surge, and fail over between AI providers mid-conversation. Your Saturday night does not hang on one vendor.

Run the ROI calculatorRead the P&L breakdown

Pick one workflow. Give us 30 days. On your data.

Choose the conversation that wakes your duty manager at 2am: overflow FNOL, out-of-hours intake, or the bodyshop chase queue. We deploy on your data and measure against your own SLA and cost-per-claim. It runs alongside what you have, with no migration and no long lock-in. If it earns its place, you widen it. If it does not, you have spent a month and learned something real.

See the 30-day pilotEstimate your pilot scope

Go deeper

Everything behind the pitch

One platform, both sides of the claim

The thesis behind how we built this.

The AI that talks is the easy 20%

Build versus buy, and the 80% nobody demos.

Everyone wants AI to decide the claim

Why we let AI run it and keep a human deciding.

Where claims AI moves your P&L

Indemnity, LAE, cycle time, Consumer Duty, resilience.

Build versus buy: claims AI

The full decision framework.

Why our AI never agrees a total-loss value

The human-in-the-loop design, end to end.

Human-in-the-loop AI for claims

The accountability model.

Timeline: the audit logger

Per case, per agent, per second.

Insurance solutions

The operational walkthrough by workflow.

Claims AI ROI calculator

Put numbers against your own book.

One platform. Both sides of the claim.

In production at an insurer and at Laird today. UK-hosted, Cyber Essentials certified, Consumer Duty by design. Let us show you on your noisiest workflow.

Start a 30-day pilot
Book a demo