Independent AI workflow assurance for SMBs

Know what AI can be trusted to do in your business.

Describe one recurring workflow. PriceBolt maps the rules, tests edge cases, shows what AI can handle versus what still needs a person, and tells you what evidence to collect next before increasing autonomy.

Test a workflow →See how the evidence works ↗

50+AI products mapped

6evidence levels from mapping to live validation

13workflow test templates

AIvalue

GPTClaudeGeminiGrokKimiCopilot

Tracking the products your team is already choosing between

Live market coverage

OpenAI

Anthropic

Google

Microsoft

xAI

Kimi

What a PriceBolt decision looks like

See the safe operating boundary before you give AI more authority.

PriceBolt starts with what AI must get right, what a person must still control and how strong the evidence is. Human time and cost remain useful context, but they do not override a failed control.

Illustrative dispatch example · USDUses the live demo defaults

$1,368USD / month

current loaded human labor tied to the workflow

120runs / month

18 minhuman time / run

36 hhuman time / month

$38 USDloaded cost / hour

This is not claimed AI savings. It is the current human baseline. At early evidence levels PriceBolt uses it only as context and, when possible, a break-even ceiling. Observed savings belong to controlled real-work evidence.

Map the rules→Test edge cases→Set autonomy→Collect next proof

Run this example →

AI + APPROVAL

Routine work can move to AI without handing over the business decision.

If simulation passes but live tools and integrations are unproven, PriceBolt can recommend AI prepares the action while a person approves before execution.

AI + EXCEPTIONS

Autonomy grows only inside the tested boundary.

Later evidence can move clearly defined routine cases to AI execution while conflicts, missing information and high-impact exceptions still escalate to a person.

HUMAN-LED

“Do not automate this yet” is a valid result.

A critical failure, unclear policy or high-consequence boundary can keep the workflow human-led even when the model looks capable on easier cases.

See the L0–L5 evidence ladder →

Illustrative figures above are in USD and come from PriceBolt's current dispatch demo defaults. They are separate from the workflow intake's editable currency setting and are not a customer testimonial, measured customer ROI or a guarantee of savings.

See the same flow with an example

The dispatch example uses the same PriceBolt workflow as your own business.

Use the dispatch example to see the full journey: describe the work, let PriceBolt interpret it, confirm what success means, run representative cases, review the evidence and get a business decision. You can edit the example text, dictate more context or add files just like with your own workflow.

1Understand the task

2Test representative work

3Get a decision

Test your own workflow →Run the dispatch example ↗

Loading dispatch sandbox…

What you can test

Choose an example, then go through the same flow you would use for your own work.

The examples prefill representative descriptions. They do not bypass workflow understanding, success criteria or the business-decision steps.

Editable example

Scheduling & dispatch

Turn messy dispatch work into hard constraints, run synthetic schedules, review corrections and calculate economics.

Run through the main flow →Editable example

Inbox triage

Test priority, routing, safe escalation and resistance to malicious instructions inside inbound messages.

Run through the main flow →Editable example

Document extraction

Test field accuracy, missing-field review and resistance to instructions embedded inside untrusted document text.

Run through the main flow →

Detailed case outputs, verifier results and evidence records are retained for auditability and future eval-building. SMB users see the business conclusion first; technical evidence belongs behind details rather than becoming the product itself.

The question

“What should AI be trusted to do — and how do we know?”

AI can already suggest dozens of things to automate. The harder question is where you should actually trust it: which cases are routine, which exceptions need a person, whether your real product/setup can execute safely, and whether the economics survive human review.

Test a workflow →

Define the safe boundary

PriceBolt turns messy work into explicit rules, exceptions and human escalation points—then tests whether AI follows them.

Test a workflow →

Increase autonomy only when earned

Evidence progresses from mapping the workflow to simulated cases, tool tests, your actual AI setup and controlled live validation. PriceBolt labels these stages L0–L5 in the technical detail.

See the evidence ladder →

Keep the evidence current

Your AI operating map records the workflow, operating mode, evidence level, human baseline and next proof as models and processes change.

Open My workflows →

From description to proof

One workflow. One coherent evidence journey.

Examples and your own workflow use the same path. Only the starting data changes, not the testing logic.

Try the dispatch example →Show PriceBolt your workflow ↗

Describe the work

Type, dictate or add redacted supporting files.

Understand & define success

PriceBolt maps the work and you confirm what must be true.

Test it

Representative cases produce machine-verifiable evidence where possible.

Get the decision

See the conclusion first; inspect eval detail only when useful.

The reliability layer

Fast enough for AI. Conservative enough for procurement.

VerifiedOfficial pricing, plans, policies, integrations.

MeasuredIndependent benchmarks with linked methodology.

ObservedReal prices and outcomes contributed by businesses.

EstimatedOur prediction—always shown as a prediction.

A note from the founder

Built from using AI in real work.

I'm Koyar Afrasyab. I use AI in my healthcare consultancy as well as in the products I build, and I kept running into the same question businesses face: not whether AI is exciting, but where it genuinely saves time or money, which tool is enough, and where a person still needs to stay in control.

I think AI will become useful for more and more business work. PriceBolt is my attempt to make it simpler to see where to focus, what to test, what you already have that may be good enough, and where the limits still are.

Measured owner sessions: about 5–12 minutes, no signup

Which workflow are you not yet sure you can trust AI with?

Find out →