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How to unblock yourself: use a decision proxy to stop being the day-to-day bottleneck

August 20, 2026

You open Slack at 10:47 p.m. and there it is: a customer escalation, a vendor contract, an urgent hiring screen. You answer. Again. If this sounds familiar, you need a decision proxy, not another workflow or a rules engine. A decision proxy represents your judgment and runs on the explicit context you give it, so it can decide refunds, approvals, and inbound partnership asks the way you would.

What a decision proxy is and why it matters

A decision proxy evaluates requests against the policies, precedents, playbooks, templates, and entity histories you load. Unlike a workflow engine, it does not assume a fixed step-by-step flow. Unlike a rules-only system, it reasons with examples and context. It never acts without enough signal. When confidence is low it escalates with just the follow-up questions needed.

That description matches DelegateZero: an API-first decision proxy built for founders at $500K–$5M ARR who are still the bottleneck on customer-facing decisions. The platform returns a structured outcome — execute, draft, or escalate — with a confidence score and a shareable audit link so every decision is traceable.

Pick five decisions to delegate right now

Don’t try to automate everything. Start with five high-interruption, repeatable decisions you currently do yourself. Typical examples:

• Refunds up to X or with these conditions
• Vendor invoice approvals under $Y with contract clause checks
• First-pass hiring screens for seniority and red flags
• Scope-change triage for small projects
• Inbound partnership requests that meet revenue or brand criteria

For each item, write the rule or policy you’d hand a new hire in plain language. Add two precedents: one you approved and one you rejected. Those pieces of context are high-leverage; they teach the proxy how you decide.

Practical launch plan — the parts that matter

Follow these steps to go from being the bottleneck to running a trusted decision proxy in days, not months.

1. Catalog the request shape. For each decision, write a single example request a human would send. Keep it short: the same text will be your first API call.
2. Load context intentionally. Add a policy, two precedents, an entity profile, and a template response for each decision. DelegateZero indexes these and flags stale entries automatically.
3. Set a confidence threshold. Configure where the system should escalate rather than act. Start conservative. You can lower the threshold as the proxy proves itself.
4. Dry-run your decisions. Use the chat or the API in dry_run mode to see outcomes without executing. The Decision Simulation and Test modes let you replay past items against new context to measure impact.
5. Connect one integration. Point Gmail or Slack at the system and let it surface drafts for your review first. DelegateZero’s auto-reply feature is off by default; when enabled it uses a configurable reply delay (defaults to 10 minutes) so you can cancel if needed.

One concrete API example

Here’s the call you’ll use to test a single decision. Send the plain-language request to the decisions endpoint and pin the context you want consulted. DelegateZero returns a decision, confidence, and a human-readable reason.

POST /api/v1/decisions
{"request": "Approve refund for customer X, order #123, requested within 14 days", "instructions": {"confidence_threshold": 0.8}, "context_ids": ["policy-refund-14d","precedent-refund-ok"]}

The response includes a decision (execute | draft | escalate), a numeric confidence, a short title, a suggested response you can send, and an audit URL you can share with the customer or vendor.

How the proxy learns your judgment

Two features make this safe and practical. Memory writes a time-stamped record after every decision, and correction events (when you override a decision) are the highest-signal inputs the system sees. If you override similar decisions repeatedly, the auto-calibration loop suggests updating the policy. That keeps the proxy aligned to your evolving judgment without you micromanaging it.

You’ll also see Decision Debt and an Accountability Dashboard that surface stale policies, unresolved escalations, and override patterns. Those views let you prioritize the few updates that produce the biggest reduction in escalations.

What success looks like

In the first month you should see fewer Slack pings at night and faster response times for customers and vendors. More importantly, you’ll know why a decision was made: each outcome is auditable and traceable back to the policies and precedents you supplied. If something goes wrong, the proxy escalates and you jump in with the minimum context needed to correct course.

If you want to try this now, start with the quickstart guide and one use case: customer escalations. The docs include API reference and examples, and there’s a dedicated page for customer escalations that shows how other teams model similar decisions.

Try the quickstart: https://delegatezero.com/docs/requests/api. If you prefer a walkthrough, the use-case page is here: https://delegatezero.com/use-cases/customer-escalations.

You’re not outsourcing judgment. You’re encoding it. Do that well and you’ll get your time back, reduce context-switching, and stop being the answer people are waiting for.