Offshore, nearshore, reshore, onshore. Each one moved work to a place. Autonomous Shoring moves a whole function to a governed agentic workforce, in your environment or ours, with a transition plan, service levels, an exception desk, and a record an auditor can verify. It is the offering for the work you would otherwise send to a BPO, and it replaces that decision instead of relocating it.
Offshoring cut cost and lost control of the work; that loss is why reshoring happened. Autonomous Shoring binds governance to every action the work takes and keeps the record yours, wherever it runs, so the cost case and the control case point the same way for the first time.
A shoring engagement is a function, not a task. Each piece below maps to a mechanism in Lightwork, not a promise on a slide.
Which function moves, step by step, and which steps stay human. Drawn from turnkey departments of governed specialists, so the starting point is a department, not a blank prompt.
The knowledge transfer a BPO takes months to run: watch a person do the job, and the agent factory synthesizes the governed pack that does it, clamped to a least-privilege envelope and approved by a human before it runs. What the demonstration teaches lands in Cortex, the company brain, tenant-exact and under audit, so the next function starts from what the last one learned.
Hard caps on dollars, wall-clock, and tool calls on every unit of work, and throughput reported per department. A cap is a mechanism the runtime enforces, not a clause you hope for.
Maker-checker, built in. Agents draft and recommend; anything above the risk ceiling routes to a credentialed human who signs off. You always know where the humans still sit.
Every action signed and hash-chained, verifiable offline, exportable as a sealed capsule. What a BPO's sampled QA could never give you: the whole function, every decision, tamper-evident.
The number a CFO asks for first, from real completed work: agent cost against your own fully-loaded human rate per deliverable, throughput per department, and the improvement curve over time. Descriptive, never used to defund safety.
The work BPOs are hired for, run by governed agents with a human on the exceptions. Each of these ships as a standalone concierge today or as a department of packs on the platform.
Need a function that is not on this list? The same factory that builds our packs builds yours, from a description or a demonstration of the work. See Daybreak Forge →
The questions a COO asks before moving a function, answered mechanism by mechanism.
| The question | Offshore or nearshore | Autonomous Shoring |
|---|---|---|
| Where does the data go? | To the provider's facility and people. | Where you choose. The workforce runs in your environment or ours, with the same gates and the same record. |
| How is the work controlled? | By contract, escalation, and sampled QA. | Policy bound to every action: allow, deny, or require a human, before it happens. |
| What can an auditor see? | Reports and samples the provider prepares. | Every action, signed and hash-chained, verifiable offline without trusting us. |
| How long is the transition? | Months of knowledge transfer and shadowing. | A demonstration becomes a governed pack, human-approved, then shadow, assisted, autonomous. |
| What happens when the work grows? | Hire, train, and re-run the transition. | Turn on more packs. Caps and the exception desk scale with them. |
| Does it get better or worse? | Attrition resets institutional knowledge. | Provable, reversible improvement: every change tested on held-out work, shipped as a canary, audited, and retirable. |
Three phases for every function, so the second one is faster than the first.
Delivered on the Lightwork platform. Self-hosted, air-gapped, or hosted by Daybreak Labs: log in and go. The same gates and the same record either way.
Bring the function you were about to send out. We'll scope it on your data, under governance you can prove, and show you the number before you commit.
