AI agents · AI automation · AI products

AI agents that do real work inside your business.

Inclout builds AI agents that read, decide and act like a trained team member, working 24/7 inside the tools you already use. We also build custom AI solutions and our own AI products.

Book a free AI consultation Meet the AI agents
Working prototype on your real data Your data stays in your cloud NDA before day one
Inclout Extract · document → dataSample invoice

COMMERCIAL INVOICE

Northwind Supply Ltd
VAT No. GB 293 4471 06
Invoice NW-2026-0418
Date 14 Oct 2026

Subtotal £12,450.00
VAT 20% £2,490.00
Total due £14,940.00

{
  "vendor": "Northwind Supply",
  "vat_no": "GB293447106",
  "invoice": "NW-2026-0418",
  "date": "2026-10-14",
  "net": 12450.00,
  "vat": 2490.00,
  "total": 14940.00,
  "checks": "passed",
  "confidence": 0.99
}
Hover a field to see where it came from. Totals and tax IDs are validated before anything reaches your ERP.
Fixed-price pilotKnow the cost before you commit
KPIs agreed upfrontWe measure success your way
You own the IPCode, models and data stay yours
Global time zonesOverlap with US, UK, EU, Middle East and APAC

What could AI save you?

Move the sliders to match one manual process in your business. This gives a rough first estimate; in a free consultation we'll check it against your actual workflow.

Estimated yearly savings
$75,600
That's time back for your team to do higher-value work.
Hours saved per year
2,160
Full-time people freed up
1.2
Get a detailed estimate Assumes 48 working weeks a year and 1,800 hours per full-time person. Estimate only.

Meet your AI agents

An AI agent is a digital team member. It reads your emails and documents, makes decisions using your rules, takes action in your systems, and asks a person when it isn't sure. We build, train and run them for you.

Document Agent

Reads invoices, forms and contracts, then enters the data for you.

Support Agent

Answers customers 24/7 and hands tricky cases to your team.

Sales Agent

Qualifies new leads, drafts follow-ups and books meetings.

Research Agent

Searches the web and your files, then writes the summary.

Finance Agent

Matches payments, chases unpaid invoices and flags anything odd.

HR Agent

Screens CVs, schedules interviews and answers policy questions.

Operations Agent

Moves data between your tools and keeps workflows running.

Reporting Agent

Builds your weekly report and explains what changed and why.

Watch an agent work

Pick a task. This is an example run showing how an agent handles it step by step.

Document AgentExample run
  1. Collects 42 new invoices from the accounts inboxPDFs, scans and photos
  2. Reads supplier, amounts, tax IDs and line itemsAny layout, any language
  3. Matches each invoice to its purchase orderChecks totals and duplicates
  4. Sends 2 invoices with mismatched totals to your teamWith the reason highlighted
  5. Posts the other 40 to your accounting systemReady for payment approval
Done in about 3 minutes · 40 posted · 2 sent for review

What we do for clients

Three things, done properly: build AI solutions for your specific problem, automate repetitive work end to end, and research what new AI can do before you bet on it.

Custom AI solutions

AI built around your data, your workflow and your systems, not a generic chatbot bolted on.

  • Use-case discovery and ROI estimate
  • Proof of concept on your real data
  • Production build with integrations

AI agents and automation

Hand repetitive back-office work to AI agents that read, decide, act and ask a person when unsure.

  • Document and email processing
  • Data entry, reconciliation, reporting
  • Agentic workflows across your tools

LLM assistants and agents

Assistants grounded in your knowledge, with citations, permissions and guardrails.

  • RAG over documents and databases
  • Customer-facing and internal copilots
  • Tool use with approval steps

Data pipelines and MLOps

The plumbing that keeps AI reliable: clean data in, monitored models out.

  • Ingestion, ETL and data quality
  • Deployment on AWS, Azure or GCP
  • Monitoring, drift alerts, retraining

AI research and evaluation

Independent testing of models and approaches, so decisions rest on evidence.

  • Model benchmarking on your tasks
  • Evaluation suites and red-teaming
  • Fine-tuning and cost optimisation

Our AI products

Built in-house from patterns we kept seeing in client work. Each one starts with a clear problem, measures its impact, and is judged on the numbers.

Available for pilots

Inclout Extract

Turns invoices, purchase orders, bank statements, KYC forms and contracts into clean, validated data in your ERP, without manual typing.

Built for Finance and accounts payable teams, shared-service centres, lenders, insurers and logistics companies handling thousands of documents a month.
SAPOracle NetSuiteMicrosoft DynamicsQuickBooksXeroEmail / SFTP / API
1The problem

Most companies still read documents and type the numbers into another system by hand.

  • Every supplier uses a different layout
  • Scans, photos and multi-page PDFs mixed together
  • Old OCR tools break on new formats
2Its impact

Manual processing is slow, costly and risky.

  • $8–15 per invoice in manual cost in North America and Western Europe (industry benchmark)
  • Typing errors cause wrong payments and audit findings
  • Late payments, missed early-payment discounts, slow month-end close
3Our solution
  1. CaptureDocuments arrive by email, upload, SFTP or API
  2. UnderstandLayout-aware AI reads any format, any language
  3. ValidateTotals, tax IDs, PO matching and duplicate checks
  4. ReviewOnly low-confidence fields go to a person
  5. PostClean data flows into your ERP automatically

The impact we target

KPIs agreed with you before go-live
80%+documents processed with no human touch
98%+field-level accuracy on validated fields
<1 minper document, down from 5–10 minutes by hand
60–80%lower cost per document processed

Targets based on industry benchmarks for intelligent document processing. Actual results depend on your document mix and data quality; we measure them in the pilot.

Request an Extract pilot

Where we help most

AI pays off fastest where there is a lot of repetitive, rules-based work and plenty of documents or conversations to learn from.

Banking and fintech

KYC checks, loan document processing, statement analysis, compliance summaries.

Insurance

Claims intake, policy document extraction, fraud signals, customer queries.

E-commerce and retail

24/7 order support, catalogue enrichment, returns handling, demand insights.

Logistics and supply chain

Bills of lading, customs paperwork, shipment updates, invoice matching.

Healthcare operations

Referral and claims paperwork, scheduling assistants, admin automation.

SaaS and technology

Support agents, in-product copilots, knowledge search, usage analytics.

How a project runs

Short, visible steps. You see something working early and decide at each stage whether to go further.

  1. 1

    Discover

    We map the workflow, review sample data and agree on KPIs and a budget.

  2. 2

    Pilot

    A working prototype on your real data, measured against the agreed KPIs.

  3. 3

    Build

    Production system with integrations, security review, evaluation and training for your team.

  4. 4

    Run and improve

    We monitor accuracy and cost, handle new cases and keep improving results.

Pilot

Fixed price

Prove value on one use case before a bigger commitment.

Project

Fixed scope

We deliver a defined AI system end to end, with clear milestones.

Dedicated AI team

Monthly

Engineers and data scientists working as an extension of your team.

Managed AI

Subscription

We host, monitor and improve the system; you get the results.

Inclout Labs

Our research arm tests new models and techniques before they reach client work, so you get approaches that hold up in production, not just in demos.

Evaluation and reliability

Methods to measure accuracy, hallucination and cost of LLM systems on real tasks.

Agentic workflows

Agents that plan, use tools and know when to stop and ask a human.

Document understanding

Layout-aware extraction for tables, handwriting and complex multi-page files.

Efficient and private AI

Smaller open models that run inside your own cloud for privacy and lower cost.

Questions clients ask

Especially teams working with us from outside India.

How do you keep our data secure?

We sign an NDA before seeing any data. Systems can run inside your own cloud account, access is role-based and logged, and your data is never used to train models for anyone else.

Who owns what you build?

You do. The code, configurations and models we build for your project are your intellectual property once the project is paid for.

How fast can we start?

Quickly. After a short discovery call we agree the scope and KPIs together, and you see a working prototype on your own data early in the project, before any bigger commitment.

We're outside India. How do time zones work?

We schedule daily overlap hours with your team, whether you're in the US, UK, Europe, the Middle East or Asia-Pacific, plus written updates and a weekly demo.

How do you price?

Pilots are fixed price. After that you can choose a fixed-scope project, a monthly dedicated team, or a subscription for our products and managed AI.

Which AI models and tools do you use?

Whatever solves your problem best. We are not tied to any vendor: we work with leading commercial and open-source AI models, any cloud or on-premise setup, and any system with an API. We choose based on accuracy, cost and privacy for your use case.

Tell us what you want to automate.

Book a free 30-minute AI consultation. You'll leave with a clear view of what's possible, what it would cost and what it would save.

[email protected]
The taskWhat your team does by hand today, and how often.
The dataA few sample documents or a short description of your data.
The goalTime saved, accuracy needed, or the decision it should support.