AGENTICFY
Get insights

Your enterprise, agent-ready

Prepare your enterpriseby AI agents.Prepare your enterprise to be discovered, accessed, operated, governed, transacted with by AI agents.

AI agents are becoming a new class of users. They discover companies, compare vendors, read policies, validate claims, access APIs, run flows and initiate transactions. AgenticFy identifies what your enterprise is missing, implements the layer it needs, validates it with evidence and keeps it governed.

  • Know where agents fail today, with evidence, not opinions.
  • Implement the protocols, assets and integrations that make your enterprise legible and operable by agents.
  • Validate, monitor and govern permissions, evidence, actions and risks.

WHY NOW

The web is becoming executable.

The first web was built for people to browse. Search made it indexable. AI agents are making it actionable. They do not browse like humans: they search wider, compare faster, summarize options, read policies, validate claims and decide which companies to surface, trust and act on.

57.5%

of web requests are now automated, the first time bots have passed humans online.

Cloudflare, 2026

69%

of Google searches now end without a click (zero-click). The decision happens inside the AI answer, not on your site.

Bain & Company, 2025

+693%

year-over-year growth in retail traffic from generative AI sources over the 2025 holiday season.

Adobe Analytics, 2026

~20% · $262B

of 2025 holiday orders were influenced by AI and agents, about $262B in sales.

Salesforce, 2026

$15T+

in B2B purchases are projected to be intermediated by AI agents by 2028.

Gartner, 2025

+42% conv.

AI-referred shoppers convert 42% better and spend 37% more per visit than non-AI traffic.

Adobe Analytics, 2026

Being online is no longer enough. Your enterprise has to be discoverable, understandable, trusted, comparable and actionable by AI agents, from first answer to checkout.

Get insights

Directionally, the shift is already visible: more traffic is automated, more decisions happen before the click and more commerce is influenced by AI-mediated journeys. Automated traffic includes crawlers, bots and AI agents, measured on HTTP requests for web content; people still lead on total activity like video, apps and social. The direction is what matters: more of the web is now read, interpreted and acted on by machines.

THE SHIFT

The agents are ready. Enterprise infrastructure is not.

AI agents already know how to research, compare, summarize and buy. What they hit is the wall every company built for human eyes: logins, pop-ups, visual checkouts, policies written to be skimmed, claims without evidence and data no machine can reliably read. The agent is not the bottleneck anymore. Your enterprise operating layer is. AgenticFy builds it. Welcome to Enterprise-to-Agents (E2A).

PROTOCOLS

Protocols will keep appearing. Your enterprise has to be ready for all of them.

llms.txt, auth.md, MCP, APIs, structured feeds, commerce manifests, scopes, tokens, webhooks, proof packages and audit trails are pieces of the new agentic infrastructure. AgenticFy identifies which pieces you are missing, generates or installs what makes sense, validates that it works and governs what agents can and cannot do. We are not the protocol. We are the layer that gets your enterprise ready for all of them.

THE BLIND SPOT

Your business was built for humans. Agents need an operating layer.

Most companies have never tested whether an agent can find, understand, compare, trust, act on or monitor their flows. That is where they vanish from the journey.

  1. 01Being found is not the same as being recommended.Agents do not show every option. They filter, summarize and choose which businesses deserve to make the answer.
  2. 02If the AI does not understand you, it guesses or ignores you.Category, entity, products, services, differentiators and official channels have to be clear to machines.
  3. 03Pretty pages are not enough. Structured data becomes infrastructure.Schema, catalog, attributes, prices, availability, policies and FAQs have to be readable by agents.
  4. 04Bad comparisons lose you before the click.If price, lead time, quality, reputation, rules or differentiators are read wrong, the AI recommends someone else.
  5. 05Trust becomes a distribution criterion.Agents prefer official, consistent, verifiable sources. Stale content, third parties and ambiguous policies weaken your position.
  6. 06Login, auth and permissions were not designed for agents.Flows with captcha, human login, undefined scopes and no revocation break automated journeys.
  7. 07Action is where most agent journeys break.Catalog, quote, scheduling, support, status, cart, checkout handoff and post-sale have to be operable by agents.
  8. 08Without evidence, you do not know what happened.When an agent reads, compares, tries, fails or completes a task, you need a verifiable trail for support, audit and improvement.

AgenticFy tests the journey, finds the blind spots and builds the agent-ready operating layer so your enterprise can be discovered, understood, trusted, preferred, acted on and monitored by AI agents.

THE HUMAN-TO-AGENT GAP

What a person forgives, an agent cannot.

Your business was built for humans, and agents operate differently. The same page that works for a person stops an agent cold.

Humans tolerateAgents need
Visual pagesStructured data
Multiple clicksPredictable paths
Ambiguous policiesComputable rules
Late price confirmationFinal price upfront
Manual supportTrackable post-action flows
Trust-based claimsEvidence-backed claims

This is the shift to Enterprise-to-Agents (E2A): the new layer where your enterprise meets the agents that increasingly act for your customers. AgenticFy builds it.

WHAT WE DO

We assess, generate, install, validate, monitor and govern.

AgenticFy is not a report you act on later. We generate the agent-ready layer, publish it into your stack, prove it works and keep it current.

ASSESS

See where agents fail, with evidence

A clear agentic operability score across 15 dimensions, backed by evidence you can show your team, not a vague grade.

  • Scored on what agents actually experience
  • Every gap tied to a fix and its impact
GENERATE

Create the machine-readable assets agents need

Entity profile, canonical answers, claim registry, task map, allowed actions and commerce manifest, generated from your real content.

  • Grounded in your real content
  • No invented claims, no hallucinations
INSTALL

Publish the agent-ready layer into your existing stack

Ship through GitHub, Webflow, WordPress, a downloadable bundle or the API. No parallel site, no rip-and-replace.

  • Plugs into the stack you already run
  • A PR is proposed, not merged
VALIDATE

Prove agents can complete the journey

Real agents run the full journey and complete tasks that used to fail, captured as a tamper-evident evidence package.

  • Real browsers, real agent journeys
  • Verifiable before-and-after
MONITOR

Detect drift, broken assets and policy changes

Continuous monitoring of the layer with agentic-regression alerts, so it stays current as your site and policies change.

  • Continuous, not one-off
  • Alerts the moment something breaks
GOVERN

Evidence, permissions, approvals and audit trail

Track what is generated, approved, connected and validated, with permission boundaries and human-approval points across every action.

  • Every action has an owner and a boundary
  • Human approval where it matters

THE PIECES

The pieces of an agent-ready enterprise.

Protocols are pieces. AgenticFy is the layer that assesses, implements, validates and governs them, whichever the stack.

DISCOVERY

Discovery

llms.txt, entity, canonical answers, machine-readable content.

CONTEXT

Context

Docs, policies, product, pricing, catalog, claims.

ACCESS

Access

auth.md, OAuth, agent registration, scopes, delegated access.

TOOLS

Tools

APIs, MCP, webhooks, SDKs, integrations.

ACTION

Action

Allowed actions, task maps, checkout handoff, workflows.

PROOF

Proof

Evidence refs, proof package, journey replay, audit trail.

GOVERNANCE

Governance

Permission boundaries, human approvals, monitoring, revocation.

GOVERNANCE

Agentic governance, not another agent.

AgenticFy is not another agent, chatbot or assistant. It is the infrastructure layer that governs how agents discover, understand, trust, act on and monitor your enterprise. Governance before autonomy.

Agent Surface Map

Where agents discover, read, navigate, act on and transact with you.

Permission Boundaries

What is allowed, blocked, or needs a plan, a credential or a human.

Evidence Sources

Which claims have evidence, which are inferred, which are forbidden.

Installed Assets

What is installed, what is missing, what is broken.

Integration Status

What is connected, what needs a credential, what needs a sandbox.

Human Approval Points

Where a human approves before publishing, transacting or altering the site.

Risk Register

Where agents can err: price, policy, claims, checkout, stale content, data.

Audit Trail

What was generated, published, validated, monitored and delivered.

HOW WE WORK

Every action has an owner, proof and boundary.

AgenticFy organizes your enterprise agentic operation with clear responsibilities: what was generated, where it was installed, which evidence backs each claim, which systems are connected, which actions require human approval and which boundaries must never be crossed.

  • 01AGENTICFY GENERATES THE LAYER
  • 02YOU APPROVE CLAIMS, WORDS AND POLICY
  • 03YOUR SYSTEMS CONNECT DATA AND WORKFLOWS
  • 04YOUR PROCESSORS HANDLE PAYMENTS
  • 05WE VALIDATE, MONITOR AND RECORD PROOF
  • 06YOU KEEP HUMAN APPROVAL WHERE IT MATTERS

WHO IT IS FOR

Wherever decisions happen, agents will shape the journey.

E-COMMERCESAASMARKETPLACESFINANCIAL SERVICESINSURANCEHEALTHCARETRAVELLOCAL SERVICESMEDIAB2B SERVICES

AgenticFy is built for companies whose discovery, trust, comparison, action or transaction flows matter. Wherever customers research, choose and act, agents will increasingly shape the journey.

REAL AGENTIC JOURNEYS

See what happens when an agent tries to operate your business.

AgenticFy simulates real agent journeys, identifies where your enterprise is not readable or actionable enough, recommends what needs to change, implements the right assets and validates the journey again with evidence.

We do not just check if your enterprise appears in AI answers. We test whether agents can actually understand, compare, access, transact and complete the journey, then help you fix the gaps.

E-COMMERCE & RETAIL

Buying an ergonomic chair

User agent session

Find me a good ergonomic chair under $400 for a home office.
I found several with strong lumbar support and good reviews.
Compare them on comfort, warranty, delivery, returns and value.
Option B looks best on comfort and reviews, and the return policy is clear.
Buy option B in installments, deliver within 7 days, ask me first if it goes over $400.
Product and returns are clear, but the installment terms and the delivery promise are not structured well enough for me to execute the purchase safely.

AgenticFy improves the journey

  1. 1SimulateRuns the same journey an AI agent would attempt.
  2. 2DiagnoseProduct variants and return policy are readable, but installment terms and the delivery promise are not structured clearly enough for agent execution.
  3. 3RecommendSuggests the exact fixes that make the journey agent-readable.
  4. 4ImplementStructures offer data, installment and delivery terms, checkout instructions, payment handoff and confirmation evidence.
  5. 5ValidateReplays the journey and checks the agent can now complete it, with evidence.
  6. 6MonitorTracks that the journey stays readable, actionable and evidence-backed over time.

Result: The store becomes easier for agents to understand, recommend and buy from, without changing the systems it already uses.

PACKAGES

From a first assessment to a governed operating layer.

Start with an audit. Grow into install, monitoring, commerce and enterprise. Pilot pricing, scoped to your engagement.

Audit

Diagnosis + operating-layer report.

Install

Generated assets + bundle + GitHub PR.

Monitor

Recurring monitoring + agentic-regression alerts.

Commerce

Transaction layer + rail readiness.

Enterprise

API/SDK + webhooks + custom adapters.

See packages

HOW IT WORKS

From not-ready to agent-ready.

01

Assess

Enter your domain and vertical. See your agentic operability score in minutes.

02

Diagnose

Understand where agents fail: discovery, trust, comparison, action, transaction or monitoring.

03

Generate

Create the assets agents need: entity profile, canonical answers, claim registry, task map, allowed actions and commerce manifest.

04

Install

Publish through GitHub, Webflow, WordPress, a bundle or the API.

05

Validate

Run agent journeys and prove what works, with tamper-evident evidence.

06

Monitor

Keep the layer current as your site, policies and integrations change.

Make your enterprise operable by AI agents.

See your agentic operability score today. The work starts the moment you do.

Get insights