Agent infrastructure for agentic enterprisesFormerly Bridge AI

The web is being rebuilt by agents.

<form action="/apply"> aria-label="Apply now" POST /v1/accounts "status":"awaiting_confirmation" outcome: booking_reference task_complete: true

<input name="loan_amount"> <div class="wizard step-2"> "status":"awaiting_confirmation" openapi: 3.1.0 audit_event: signed retry(1/3) decision: proceed

onclick="next()" onclick="next()" display:none "step":"identity_check" openapi: 3.1.0 step 4/4 ✓ outcome: booking_reference

display:none <select id="tenure"> <select id="tenure"> GET /v1/products/deposits GET /v1/products/deposits tool: transfer_funds rollback: available

<form action="/apply"> aria-label="Apply now" POST /v1/accounts "status":"awaiting_confirmation" outcome: booking_reference task_complete: true

<input name="loan_amount"> <div class="wizard step-2"> "status":"awaiting_confirmation" openapi: 3.1.0 audit_event: signed retry(1/3) decision: proceed

onclick="next()" onclick="next()" display:none "step":"identity_check" openapi: 3.1.0 step 4/4 ✓ outcome: booking_reference

display:none <select id="tenure"> <select id="tenure"> GET /v1/products/deposits GET /v1/products/deposits tool: transfer_funds rollback: available

<form action="/apply"> aria-label="Apply now" POST /v1/accounts "status":"awaiting_confirmation" outcome: booking_reference task_complete: true

<input name="loan_amount"> <div class="wizard step-2"> "status":"awaiting_confirmation" openapi: 3.1.0 audit_event: signed retry(1/3) decision: proceed

onclick="next()" onclick="next()" display:none "step":"identity_check" openapi: 3.1.0 step 4/4 ✓ outcome: booking_reference

display:none <select id="tenure"> <select id="tenure"> GET /v1/products/deposits GET /v1/products/deposits tool: transfer_funds rollback: available

<input name="loan_amount"> aria-label="Apply now" GET /v1/products/deposits openapi: 3.1.0 tool: transfer_funds tool: transfer_funds

<div class="wizard step-2"> onclick="next()" llms.txt idempotency-key schema.org/FinancialProduct cost_per_outcome: 1,280 step 4/4 ✓ cost_per_outcome: 1,280

<form action="/apply"> display:none agent_manifest.json agent_manifest.json task_complete: true outcome: booking_reference

<input name="loan_amount"> <select id="tenure"> MCP llms.txt "status":"awaiting_confirmation" decision: proceed decision: proceed

<input name="loan_amount"> aria-label="Apply now" GET /v1/products/deposits openapi: 3.1.0 tool: transfer_funds tool: transfer_funds

<div class="wizard step-2"> onclick="next()" llms.txt idempotency-key schema.org/FinancialProduct cost_per_outcome: 1,280 step 4/4 ✓ cost_per_outcome: 1,280

<form action="/apply"> display:none agent_manifest.json agent_manifest.json task_complete: true outcome: booking_reference

<input name="loan_amount"> <select id="tenure"> MCP llms.txt "status":"awaiting_confirmation" decision: proceed decision: proceed

<input name="loan_amount"> aria-label="Apply now" GET /v1/products/deposits openapi: 3.1.0 tool: transfer_funds tool: transfer_funds

<div class="wizard step-2"> onclick="next()" llms.txt idempotency-key schema.org/FinancialProduct cost_per_outcome: 1,280 step 4/4 ✓ cost_per_outcome: 1,280

<form action="/apply"> display:none agent_manifest.json agent_manifest.json task_complete: true outcome: booking_reference

<input name="loan_amount"> <select id="tenure"> MCP llms.txt "status":"awaiting_confirmation" decision: proceed decision: proceed

<div class="wizard step-2"> DOMContentLoaded "terms":{"apr":7.15} POST /v1/accounts cost_per_outcome: 1,280 rollback: available

<label for="amount"> onclick="next()" MCP openapi: 3.1.0 POST /v1/accounts consent: scoped confirmation_required = true

<a href="/deposits"> <input name="loan_amount"> "step":"identity_check" POST /v1/accounts step 4/4 ✓ cost_per_outcome: 1,280 plan → act → verify

DOMContentLoaded <a href="/deposits"> idempotency-key agent_manifest.json task_complete: true decision: proceed

<div class="wizard step-2"> DOMContentLoaded "terms":{"apr":7.15} POST /v1/accounts cost_per_outcome: 1,280 rollback: available

<label for="amount"> onclick="next()" MCP openapi: 3.1.0 POST /v1/accounts consent: scoped confirmation_required = true

<a href="/deposits"> <input name="loan_amount"> "step":"identity_check" POST /v1/accounts step 4/4 ✓ cost_per_outcome: 1,280 plan → act → verify

DOMContentLoaded <a href="/deposits"> idempotency-key agent_manifest.json task_complete: true decision: proceed

<div class="wizard step-2"> DOMContentLoaded "terms":{"apr":7.15} POST /v1/accounts cost_per_outcome: 1,280 rollback: available

<label for="amount"> onclick="next()" MCP openapi: 3.1.0 POST /v1/accounts consent: scoped confirmation_required = true

<a href="/deposits"> <input name="loan_amount"> "step":"identity_check" POST /v1/accounts step 4/4 ✓ cost_per_outcome: 1,280 plan → act → verify

DOMContentLoaded <a href="/deposits"> idempotency-key agent_manifest.json task_complete: true decision: proceed

Interfaces for humansContracts for machinesExecution for agents⟶⟶

Your customers have started sending AI agents to complete high-value tasks on their behalf. They gather information, verify eligibility, open accounts, submit claims, and prepare applications, while people remain in control of important decisions.

Webzero is the infrastructure that makes regulated digital journeys work for both agents and humans.

Visibility gets the agent to your front door. Usability determines whether an account is opened, a claim is submitted, or a payment is completed.

Get your w0 score Watch an agent fail

live

task 3 of 7 · error recovered · confidence 0.59context reload · 1,240 tokens · path efficiency 0.38maturity instruction · no accessible name · dead endrun complete · illustrative w0 score 33 / 100 · poortask 3 of 7 · error recovered · confidence 0.59context reload · 1,240 tokens · path efficiency 0.38maturity instruction · no accessible name · dead endrun complete · illustrative w0 score 33 / 100 · poor

run · retail_banking_01

The shift

Thirty years of the web were built for human user. The new user thinks, searches, and acts differently.

In banking and insurance the delegated task is not a search, it is a transaction with a regulator attached. The agent has to prove entitlement, act within permission and leave an audit trail. Every metric the industry still reports was designed for the reader, not the executor.

Digital banking1995 / 2023

customer → clicks → reads → decides

Measured by attention.

Sessions. Bounce rate. Application drop-off. Keyword rank.

Agentic banking2024 / now

customer → delegates → agent → executes → outcome

Measured by completion.

Task success. Recovery. Consent and audit. Cost per completed outcome.

The completion gapwebarena · frozen task set · same journeys

human

78.2%frontier agent

14.4%addressable

63.8 points

63.8

0255075100

WebArena, the public benchmark of multi-step web journeys.

The gap is not intelligence, it is the infrastructure.

The only side of the equation you control.

How an agent sees

A person recognises a page. An agent has to reconstruct it.

Your customer sees a product, a price and a button in a single glance. An agent receives a serialised tree of elements with no visual hierarchy, no sense of what matters, and no confirmation that what it found is what it needed.

Good encoding turns a visual experience into an executable one.

WEBZERO / ENCODING VIEWbank.example/deposits/fixed-depositWhat a human seesWhat an agent sees

GET /deposits/fixed-deposit · 200 · text/html · 214 KBaccessibility tree · 8 nodes

heading"18-month Fixed Deposit"✓ readable

text"7.10% p.a. · paid at maturity"✗ no offer schema

grouptenure · 12 / 18 / 24 months✗ selection not exposed

textbox(no accessible name)✗ not fillable

comboboxfunding account✗ options render on click

imgmaturity-summary.png✗ figures are pixels

button"Open Fixed Deposit" → onclick handler✗ no callable action

link/deposits/fixed-deposit#terms✓ reachable

outcome: cannot complete · 2 of 8 nodes actionable3 retries · 41.2s · $0.18

Savings and deposits

18-month Fixed Deposit

7.10%p.a. · paid at maturity

Tenure

12 mo18 mo24 mo

Amount

$25,000.00

Minimum $1,000 · maximum $250,000

Debit from

Savings ····4471▾

Open Fixed DepositRates change daily.

Maturity summary

Deposit$25,000.00

Interest$2,715.00

Tenure18 months

Matures12 Mar 2028

At maturity$27,715.00

FDIC insured to $250,000

↔

01 Vision

No glance. Only a sequence.

A person reads size, position and contrast to know what is primary. An agent reads elements in document order. A rate published as an image, or a fee held in a modal, is simply not there.

02 Finding the right information

Retrieval without recognition.

Your customer knows the rate in large type governs and the footnote is the caveat. An agent finds seven numbers and has to infer which one applies. When it guesses, the assumption is what reaches the customer.

03 Operation

Reading a journey is not running one.

A goal only counts if the agent can carry it the whole way: select, fill, hold state through identity, confirm, and get the result back in a format it can use. A page that answers every question and completes nothing was read, not used.

What Webzero is

An operating layer between the agents your customers send and the systems they have to survive.

We work on the property itself, the flows, the action surfaces and the controls around them, so a delegated task ends in a completed, auditable outcome instead of an abandoned session.

01 Simulate

We send agents through the journeys that matter.

A frozen benchmark fleet attempts deposit booking, claims intake and eligibility. Every hesitation, retry and dead end is recorded.

02 Score

Outcomes become one governed number: the w0 score.

The Webzero Agent Readiness Index: a gate-checked measure of what a permitted agent can actually complete, and at what cost.

03 Remediate

Then we remove the reasons it failed.

Ambiguity, dead ends and missing action surfaces, engineered out at source, then re-simulated to prove the delta.

Simulation

Stop auditing signals. Watch an agent try to open an account.

An illustrative replay against a representative BFSI property. No client data is shown, and the failure modes are the ones we find most often in the sector.

● runningjourney: book_fixed_deposit · existing_customercondition: cleanbenchmark_set: frozen

·

Locate deposit rates

product index · structured schema

·

Extract rates by tenure

rate card served as an image

·

Compare tenure options

penalty terms held in a modal

·

Open booking flow

four-step wizard · client state

·

Set maturity instruction

unlabelled control · no schema

·

Confirm booking

unreached

·

Retrieve deposit receipt

unreached

Tokens

0

Errors / recovered

0 / 0

Task success

0%

Executing benchmark task suite against the property…

Every signal-based audit scores this property highly. The customer's agent still leaves without the outcome it was sent for.

Crawl policy, structured data and llms.txt are all present and passing. Discovery was never the problem in financial services; the product pages are immaculate. Execution is the problem: the conditional form, the third-party hand-off, the state that dies on re-render, the outcome that only ever arrives by email. A perfect visibility score and a zero-completion outcome are entirely compatible, and only one of them shows up in the P&L.

The score

The Webzero Agent Readiness Index (WARI).

One governed number for the board and the engineering backlog alike: the probability that a permitted agent can discover, understand and safely complete a real task on your property. Not a checklist, an empirical result from observed runs.

READ THE WARI OVERVIEW →

CAN IT

Find it?

Discovery, permission and context, table stakes, not readiness.

CAN IT

Do it?

Measured completions of value-weighted tasks, clean and perturbed.

CAN IT DO IT

Safely?

Scoped consent, injection resistance, audit trail, human confirmation.

AND IS IT

Worth it?

Cost and latency per completed outcome, success at ten times the cost is a different result entirely.

Safety is not a category you can average away.

The w0 score is non-compensatory. A failed governance gate takes the score to zero regardless of throughput: no volume of completed journeys buys past a missing audit trail, an unpermitted crawl, or an irreversible action taken without confirmation.

Remediate

Strengthening a journey for agents is mostly subtraction.

We do not make the agent smarter, that would not survive the next model. We remove the reasons it needed to be smart: the ambiguity, the dead ends, the context it had to reload, the actions it had no surface to call. Nothing is automated away from your controls.

AMBIGUITY

Every action gets one unmistakable affordance

NAVIGATION

Structured action surfaces replace click paths

CONTEXT LOSS

State survives re-renders, hand-offs and retries

DEAD ENDS

Human queues expose observable, recoverable states

TOKEN WASTE

Cost measured per completed outcome, not per page

RISK

Scoped consent, audit trails, confirmation contracts

The same journey,
re-simulated.

Steps to outcome

7

4 reached

Tokens per attempt

6,120

baseline

Task success

33%

confidence-adjusted

w0 score

33

poor

Path

Locate rates

→

Extract tenures

→

Compare

→

Open booking

→

Maturity

→

Confirm

→

Receipt

As measured. Discovery passes, execution does not, and the governance gates hold the score where it belongs.

Illustrative figures from representative BFSI properties. Client results are not published.

How it runs

A recommendation is an opinion. A second simulation is evidence.

01

Simulate

Frozen benchmark agents run your real journeys in a permitted environment. Every trajectory is logged.

02

Score

Outcomes are value-weighted, confidence-adjusted and gate-checked into one w0 score.

03

Remediate

Fix the property, never the probe, as engineering work against your own stack and controls.

04

Validate

Re-run the identical suite, prove the delta, then monitor for drift. The loop never closes.

Category

Webzero is not an assistant, a copilot, or another automation platform.

It is the layer between the agents your customers already sent and the regulated systems they have to survive.

✕ Not a chatbot

✕ Not an agent framework

✕ Not another visibility audit

→Infrastructure for the agentic enterprise

Recognition

Featured In & Recognized By

Selected into the Google for Startups × Antler Immersion Program 2026 (top 25), the LeadHerShip program by Aditya Birla Capital Limited, the E2B Startup Program and the Sarvam Startup Program.

Selected into the Top 25 · Google for Startups × Antler Immersion Program 2026

Selected into the LeadHerShip program by Aditya Birla Capital Limited

Selected into the E2B Startup program

Selected into the Sarvam startup program

More than half of requests now come from machines, not humans.

Cloudflare, August 2026

FAQ

The questions risk, engineering and marketing each ask first.

If yours is not here, write to us. We answer specifics before an engagement, not after.

ScopeWhat exactly does Webzero deliver?+

A simulation of your real customer journeys run by a frozen fleet of benchmark agents, a w0 score for each journey and for the property, the full trajectory evidence behind both, and a remediation backlog ranked by score movement per unit of engineering effort. Where you want us to, we also do the rebuild work with your team and re-run the identical suite to prove the delta.

RiskDo you need production access or customer data?+

No. We run against a permitted environment you nominate, with synthetic identities and test instruments. Nothing in the benchmark requires real customer records, and no journey touches a live financial instrument unless you explicitly ask for a controlled production run under your own change process.

RiskHow is this different from letting bots loose on our site?+

Every run is permitted, rate-bound and logged. The agent fleet operates inside a declared consent scope, stops before anything irreversible, and produces an audit trail of what it attempted. If your access policy would refuse the agent, that refusal is itself a finding, not something we work around.

MethodWhy not just make the agent smarter?+

Because a score you can move by tuning the probe measures the probe. Our benchmark fleet and task library are versioned and frozen between runs, so the only way the number rises is that the property genuinely got better. It also means the improvement survives the next model release instead of being re-litigated with it.

MethodOur discovery signals are already excellent. Is this not solved?+

Discovery is usually the strongest layer we measure in BFSI, and on its own it moves the score by nothing. The loss is concentrated in identity, conditional forms, third-party hand-offs and outcomes that are never returned to the caller. A perfect visibility audit and a zero-application outcome are entirely compatible.

DeliveryHow long does a first engagement take?+

Two weeks for a scoped simulation on two live journeys, from kick-off to a w0 score with the evidence behind it. Remediation work is sized from the findings and runs against your own stack, sprint cadence and change controls. Nothing is deployed by us.

DeliveryWho owns the work, and what changes in our stack?+

You do, and nothing changes without your engineers. The findings arrive as concrete changes to your own surfaces: machine-readable terms, one unambiguous affordance per action, state that survives step-up auth, a scoped and idempotent action surface, and an outcome the caller can observe. We can implement alongside your team or hand the backlog over.

ScoreCan we publish our w0 score?+

Yes, once a run meets the evidence threshold. We do not publish client scores, journeys or trajectories ourselves, including on this site. The scoring model, weightings and task library are disclosed to clients under engagement.

ScoreWhat happens when our journeys change?+

The score decays with the property. Agentic readiness is not a certification you hold; a release that reworks a form or swaps a payments vendor can move it materially. Most clients re-run the suite each quarter, and continuously on the journeys that carry the most value.

Agents are already visiting. Find out what they leave with.

A scoped simulation on two live journeys, returned as a w0 score with the trajectory evidence behind it. Two weeks, no change to your stack.

Talk to us Read the WARI overview