Agentic AI systems for ambitious companies

We build AI agents for the work your company actually does.

Our AI agents can understand context, use approved tools and complete multi-step workflows—with human checkpoints and without an in-house AI department.

Fixed-scope first pilot Human checkpoints Model-agnostic
Example / supermarket stock checkToday · 07:30
Supermarket dairy shelves with a visible low-stock gap among the milk cartons
Milk shelf running low12 cartons left
23% left
Excel
stock.xlsx
Recent sales≈ 8 cartons a day
checks · compares · suggests
Suppliers
3 checked
Best option foundMercal · €1.18 · arrives Thu
Price−7%
Review
Not sent
Order 48 cartons?€56.64 · arrives Thursday
Approve orderChange
Reorder suggestion ready
Nothing is ordered until you approve
XLSReads the Excel you already use
You approve every order

What businesses want automated

Six bottlenecks. One connected operating layer.

Search demand is practical: companies want fewer manual handoffs across the tools they already use. We start with one bounded workflow and measure the result.

01

Customer service automation

Triage email, chat and WhatsApp; answer routine questions; route exceptions to a person.

Email · WhatsApp · multilingual support
02

Sales and CRM automation

Qualify leads, update the CRM, draft proposals and make sure follow-ups happen.

Leads · CRM · proposals · follow-up
03

Invoices and document processing

Extract PDFs, match invoices to purchase orders and prepare clean entries for review.

Invoices · PDFs · OCR · data entry
04

Stock and supplier automation

Detect low stock, compare suppliers and prepare a purchase order with human approval.

Inventory · forecasting · procurement
05

Excel and reporting automation

Consolidate spreadsheets, produce recurring reports and flag the numbers that need attention.

Excel · Sheets · reporting · alerts
06

Back-office workflow automation

Coordinate inboxes, scheduling, onboarding, approvals and handoffs between systems.

Operations · scheduling · approvals

Products we’ve shipped

We don't stop at prototypes.

Two production-grade AI products designed and built by NeoLoop—from product strategy and premium interfaces to AI orchestration and full-stack delivery.

Marpin — Turns a company URL and marketing context into evidence-backed analysis, editable campaign work and approval-ready actions.01

AI marketing operating system · Live beta

Marpin

Turns a company URL and marketing context into evidence-backed analysis, editable campaign work and approval-ready actions.Explore Marpin
Fitura — Connects goals, schedule, nutrition, movement, sleep and recovery in an adaptive weekly experience, with review before AI-proposed changes are applied.02

AI wellness coach · Shipped for iOS

Fitura

Connects goals, schedule, nutrition, movement, sleep and recovery in an adaptive weekly experience, with review before AI-proposed changes are applied.Explore Fitura

Built and shipped by NeoLoop. These are NeoLoop products, not client projects; no client outcomes are claimed.

Market signal / 2025–26

The capability is here. Small teams still need the bridge.

Adoption is accelerating, but access is uneven. The clearest gap is not another chatbot—it is the expertise to turn capable models into dependable work.

50%+

of non-adopting SMEs say missing skills hold back generative AI use

the implementation gap is practical, not theoreticalOECD, 2026

Where the first loop pays back fastest

Start where busywork is expensive.

We prioritize sectors with recurring language- and document-heavy work, measurable response costs and a clear expertise gap—not just the loudest AI hype.

Builders · trades · facilities · maintenanceHigh-fit workflow

Let your best people build—not chase estimates, update spreadsheets and answer the same status question twice.

Common first loops

  • Lead qualification and job booking
  • Estimate and quote follow-up
  • Site notes into daily reports
  • Invoice and purchase-order matching
13%of UK construction businesses used AI in June 2026UK ONS, 2026
TriggerA prospect requests a quote
01

Collect the scope, location and timing

02

Match services, rules and past jobs

03

Draft the estimate and open questions

04

Schedule review and follow-up actions

Human-ready resultA complete estimate pack ready for expert review

Small start. Serious build.

From “we should use AI” to one workflow your team can trust.

A first release is typically 2–4 weeks. You get a working system, the operating logic behind it and a clear view of what should—or should not—come next.

01

Choose the first task

We identify one repeated task, what slows it down today and the result that would make improving it worthwhile.

Project review
02

Build the first version

We connect the essential systems, choose the right technology and build with real examples—not a generic demo.

Working first version
03

Test it with your team

Your team checks agreed examples. We refine limits, approvals and backup steps before the system does more.

Team testing
04

Expand what works

Once the first task saves time or improves decisions, we connect the next bottleneck and reuse what is already built.

Practical expansion
your workflow
ClaudeOpenAIGeminiyour data

Model-agnostic by design

The model is a component. Your workflow is the asset.

We select models and tools for the job, then keep the business logic, evaluations and integrations portable. You get leverage from the best available technology without rebuilding the company around a single vendor.

  • 01
    Fit before fashion

    Capability, privacy, latency and cost decide the stack.

  • 02
    Human authority

    People approve high-impact actions and define the boundaries.

  • 03
    Visible operations

    Structured outputs, activity logs and fallbacks make behavior inspectable.

Value before volume

What could one well-chosen loop unlock?

The strongest first workflow is frequent, bounded and easy to measure. Use this quick model to size the capacity currently tied up in one repeated process.

Good pilot signal: the work repeats weekly, follows recognizable rules and still needs a person’s judgment at defined moments.

Workflow capacity modelIllustrative
Annual capacity value€23,962
Capacity redirected749 h

Planning estimate only—not a savings guarantee. A workflow audit validates the assumptions and quality threshold.

Clear before clever

The questions worth asking before you automate.

Ask us a question

A focused software worker that can read context, use approved tools and carry a task through several steps. We constrain it to a clear job, add human checkpoints where judgment matters and log what it does.

Contact NeoLoop

What do you want to build or improve?

No technical brief needed. Tell us the idea or business problem in plain language. We’ll reply by email with our first recommendation and, if we can help, suggest a short call.

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