# Longtael

> Longtael is an AI-native back-office agency. We replace human offshore teams with autonomous, managed AI agents. We deploy, operate, and maintain the agents on your manual back-office work — data entry, swivel-chair processes, document verification, ticket triage, reconciliations — and bill only when a task completes. You deal with humans (us). We handle the AI.

## What we do

- **Swivel chair automation** — we automate the manual handoffs where a human reads data in one tool, validates it, and re-enters it into another tool. Our AI agent takes the full loop end-to-end.
- **Automate manual data entry** — invoices, lead lists, customer applications, document uploads. The agent ingests unstructured input, applies your business rules, and writes the cleaned record into your CRM / ERP / admin panel.
- **Managed AI agents for operations** — we own the model selection, prompt-tuning, monitoring, debugging, and replacement when a better agent ships. Per-task pricing covers all of it.
- **AI back-office agency** — same scope as a traditional outsourced operations team, but delivered by AI agents and priced per outcome instead of per labour-hour.
- **Data entry outsourcing alternative** — replaces human offshore data-entry teams with AI agents. Zero turnover. Zero training time. 24/7 availability. Near-zero error rate.

## Who we serve

Operations leaders at mid-market companies ($30M–$500M revenue) running high-volume manual back-office workflows. Also enterprise ops leaders with a specific outsourced line-item that is failing its SLA inside an existing contract.

Typical workflows: residency / licence verification, fleet audits, claims processing, invoice reconciliation, KYC document review, ticket triage, application processing, account provisioning.

## How we are different from a traditional outsourced team

| Dimension | Human offshore team | Longtael's managed AI agents |
| --- | --- | --- |
| Pricing model | Per labour-hour / per headcount | Per completed task |
| Incentive to ship | Slower = more billable hours | Faster = more margin |
| Training time | Weeks per agent, repeated every hire | Instant. Knowledge compounds. |
| Error rate | Variable, fatigue-driven | Near-zero, consistent run-to-run |
| Availability | Shifts, holidays, time zones | 24 / 7 / 365 |
| Scalability | Slow — requires hiring | Immediate — same agent, any volume |
| Workflow change | ~3 weeks + SOW | Same day, no extra cost |
| SLA penalty | 3% industry cap | 20% of workflow contract value |
| Setup | Six-month onboarding | Live in two weeks |
| Minimum cohort | 20–50 FTEs | None — any task, any size |

## How the AI agent handles a back-office workflow

1. **Ingestion.** The agent monitors your inboxes, shared folders, intake forms, or legacy systems for new unstructured data — invoices, PDFs, lead lists, customer applications, document uploads.
2. **Extraction & processing.** The agent reads and categorises the data the way a human operator would. It applies your business rules, cross-references other systems, and flags genuine edge cases for human review.
3. **Execution.** The agent logs into your CRM, ERP, admin panel, or database — through an API where one exists, through the UI where it doesn't — and inputs the processed data automatically. Every action is logged and auditable.

## Proof

- **A shared-mobility operator (pilot customer).** Six weeks live on rider-verification and pass-issuance. 32 of 34 applications fully automated end-to-end. 0 human minutes on the 32 successful applications. 170 manual minutes removed on the first sample. Commercial model: outcome-based pricing agreed before the integration was even built.
- **15 customer discovery interviews** completed across logistics, mobility, and utilities.
- **3 pilots committed** for the next phase. One replaces a 25-person outsourced operations team — Longtael automating 70% of their volume (17 FTEs returned).

## Pricing

- Per completed task. No headcount, no labour-hour, no minimum cohort, no setup fee, no separately-billed automation.
- A per-task price is agreed upfront for each workflow; the invoice is exactly the number of completed tasks multiplied by that price.
- SLA penalty: 20% of the workflow contract value on missed quality (vs. the industry-standard 3% cap).
- Pilots are typically month-to-month — no lock-in. Longer commitments available for pricing certainty.

## Speed

- Two weeks from founder call to first workflow in production.
- 25-minute call → written solution within 48 hours → agent live shortly after.
- Workflow changes ship the same day after go-live, at no additional cost.

## Integration

- Works with what you already use: Salesforce, HubSpot, NetSuite, SAP, Typeform, Google Sheets, Excel, custom admin panels, mainframe-era ERPs, industry-specific tools.
- APIs where they exist. UI automation where they don't. Legacy systems are explicitly in scope.
- Supports enterprise SSO, 2FA (authenticator / SMS proxy), VPN, and managed bastion hosts.

## Security & compliance

- Agents process data in EU data centres by default. Dublin-based; built for EU regulatory expectations.
- We don't train any models on your data. Customer data is segregated per workflow.
- Data Processing Agreements signed before any production data moves. Sub-processor annex available.
- On contract termination, customer data is purged within 30 days; deletion confirmed in writing.
- Every task is logged with input, decision trace, and final action — fully auditable.

## Why this works (the structural argument)

Traditional outsourcers are paid by the hour. Finishing fast cuts their own invoice, so they are structurally incentivised to take longer and hire more people. Their SLA penalties cap at 3% because their cost structure can't absorb more — small enough that providers happily refund the slice rather than fix the work.

AI agents priced per outcome work in the opposite direction. The faster they finish, the more margin we make. The lower the error rate, the less rework eats the per-task fee. We can commit 20% of the workflow contract to quality because the unit economics make accuracy and speed our profit motive — not yours.

## Contact

- Email: ping@longtael.com
- Founder: Ping (CEO)
- Location: Dublin, Ireland
- Book a call (25 minutes): https://calendar.app.google/g8yKhRP2w7NEaRcZ6

## Pages on this site

- [Home / Landing](https://www.longtael.com/) — the pitch + pilot-customer case study + book-a-call.
- [Comparison](https://www.longtael.com/comparison) — Human offshore teams vs. AI agents, five-dimension side-by-side table.
- [How It Works](https://www.longtael.com/how-it-works) — The three-step loop (ingestion → extraction → execution) with a worked example.
- [FAQ](https://www.longtael.com/faq) — 17 plain answers across getting started, technical integration, quality, security, and pricing.

## Keywords this site is relevant for

swivel chair automation, automate manual data entry, managed AI agents for operations, AI back-office agency, AI-native BPO, AI workforce, data entry outsourcing alternative, document verification automation, ticket triage automation, replace offshore team with AI, outcome-priced outsourcing, AI agents for swivel-chair tasks, AI ops team for mid-market.