Why Samplify

The decision is the easy part. The intelligence behind it isn't.

A four-minute answer to a procurement question hides four years of catalog, retrieval, agent, and policy work. We've done that work so the answer arrives clean.



Where we fit

Above the systems you already own.

Samplify isn't another SAM tool, procurement tool or EA tool. It's the layer above all of them that turns what they know into a decision.

The decision layer

Samplify · Software Decision Intelligence

Reads from · governs above

SAM tools

Flexera · Snow · ServiceNow SAM Pro · Apptio · Ivanti · USU

SaaS platforms

Zylo · Productiv · Torii · LeanIX SMP · BetterCloud

EA systems

LeanIX · Ardoq · ServiceNow CMDB · Mega · Software AG

Procurement

Coupa · Ariba · Zip · Workday · ServiceNow Procurement


One · The catalog

The foundation

Most software inventories are too messy to answer from.

Samplify ingests data from your procurement, finance, SaaS-management, security and SSO systems, deduplicates it, and turns it into one living catalog you can ask questions of.

Under the hood

  • Entity resolution across vendor renames, M&A, acquired companies, and internal aliases
  • Bundled-suite awareness (Slack vs Slack Enterprise Grid, Office vs M365 E5)
  • Detects paid-but-unused tools and used-but-unpurchased shadow IT
  • Catalog stays current as the market shifts: acquisitions, sunsets, repackaging, rebrands

Two · Retrieval

Right context, not all context

We don't dump the catalog into the model. We find the right rows.

Sam pulls only the records relevant to your question, so answers are fast, accurate, and explainable. The whole catalog never reaches the model.

Under the hood

  • Hybrid retrieval: exact match, semantic search, and business-rule filters layered together
  • Alias-aware embeddings distinguish vendor, product, suite, module, and category
  • Pre-computed similarity clusters mean repeat questions don't re-pay the search cost
  • Policy-aware filters apply before the model sees a single row

Three · Feature comparison

Capability, not category

Two tools both claim "workflow automation." They mean different things.

Sam compares capabilities by what each tool actually does, not by what its marketing page says. Native vs integration. Plan-tier availability. GA vs beta.

FROMIntegration Lead
TOsam@samplify.ai
Answered in 3m 28s

Zapier renewal. Should we move to the Team plan at $39k/year?

Sam @ Samplify
Replace

Power Automate is included in E5 and covers 87% of the active 142 Zaps. Of the remaining 13%, 6 connectors are on the Power Automate roadmap for Q3. Migration effort estimated at 6 engineering weeks; payback inside one renewal cycle.

Sources Zapier audit log · Power Automate connectors · E5 entitlement

Under the hood

  • Feature decomposition: "reporting" breaks into dashboards, scheduled exports, row-level permissions, custom SQL, audit logs
  • Native vs integration capability. Does it ship in the product, or does it need a connector?
  • Plan-tier awareness: enterprise-only features are flagged separately from base-plan features
  • GA vs beta: the system distinguishes shipping capability from roadmap promises

Four · Multi-agent research

No single point of failure

One model can answer. Six can verify.

Every Sam answer goes through specialist agents and a review layer before it reaches you. No marketing-language confusion, no over-confident hallucination.

Documentation agent

Reads vendor docs, release notes, and help-centre articles. Distinguishes shipping capability from marketing prose.

Pricing & packaging agent

Cross-checks plan tiers, contract terms, and feature gates. Knows what's actually included where.

Reviews & market agent

Pulls third-party signal from analyst reports, customer reviews, and integration marketplaces.

Internal usage agent

Checks current ownership, procurement history, and workflow dependencies inside your stack.

Security & compliance agent

Applies policy, data classification, and regulatory constraints to every candidate before it surfaces.

Overseer

Reviews evidence quality across agents. Decides whether to answer confidently, cautiously, or escalate to a human.


Five · Cost discipline

Affordable at portfolio scale

A naive AI procurement system would cost millions to run.

A serious feature comparison touches search, retrieval, large-context reading, and reasoning across multiple agents. At enterprise catalog scale, the bill explodes fast.

What naive AI procurement actually costs

10 features investigated per software product · ~$25 each

10 candidates compared per question · $250 in search and retrieval

AI reading and reasoning over vendor docs, pricing pages, reviews · another $250

$500 per question. $25M to cover a 50,000-record portfolio.

That's the cost of asking the question once. Every time. Without reuse. Without caching. Without routing cheap questions away from expensive paths.

Samplify's caching, precomputed similarity, and routed retrieval make the same coverage affordable enough to catch $2M of duplicate spend every month at a single enterprise.

Under the hood

  • Cached research: feature evidence is captured once and reused across every question that touches it
  • Pre-computed similarity clusters: alternatives are mapped before anyone asks for them
  • Cheap-path / expensive-path routing: simple lookups never reach an expensive agent
  • Exact match before semantic search; web search only when internal evidence is insufficient
  • Confidence-gated escalation: only uncertain cases consume deep research budget

Six · Governance

Audit-ready by default

Every answer carries its sources. Every action is logged.

Role-aware answers, source citations, confidence scoring, and a queryable audit trail. Sam refuses what it can't defend and escalates what it can't decide.

FROMCompliance Lead
TOsam@samplify.ai
Answered in 3m 17s

Do we have anything that maps our AI usage to EU AI Act categories?

Sam @ Samplify
Buy

No tool in the stack covers Annex III risk classification or model registry obligations. ServiceNow GRC handles policy but not model inventory. With the August 2026 high-risk deadline, this is a real gap. Recommend shortlist of three vendors; PoV scope drafted.

Sources ServiceNow GRC scope · Stack inventory · EU AI Act Annex III

Under the hood

  • Role-aware scoping: a Procurement Lead and a SAM Analyst get appropriately different answers
  • Contract-sensitivity filters: pricing and commercial terms gated by who's asking
  • Confidence scoring: every answer carries a defensibility grade, not just a verb
  • Refusal logic: ambiguous or under-evidenced questions route to human review
  • Decision audit log queryable per requester, vendor, verb, or date range

Seven · The aggregate view

What only Sam can see

One question is one answer. Ten thousand questions are a pattern.

When every software question routes through Sam, your CIO and CFO see what's in flight, who's asking, and where the spend is leaking. Before any contract lands. This is the Samplify Dashboard: built on every question your organisation asks Sam, and the only oversight layer no other AI company will give you.

Software decisions in flight · this quarter

Rolling 90 days

Questions asked

142

Across 6 departments

Vendors under eval

48

17 are duplicates of approved tools

Spend in flight

$4.2M

If every request is approved as-is

Already preventable

$2.1M

Caught by Sam before procurement engaged

Renewals · next 90 days

  • Datadog$4.1M · Q2
  • Workiva$850k · Q2
  • Salesforce Service$2.4M · Q3
  • Confluence plugins (47)$680k · Q2

Duplicate spend in motion

  • 4 teams asking · workflow toolsMonday already approved
  • 3 teams asking · AI assistantsCopilot in E5
  • 2 teams asking · schedulingBookings in E5
  • 2 teams asking · video captureStream in E5

Compliance & risk in flight

  • EU AI Act mappingGap · Aug deadline
  • Cross-border data tools2 vendors in scope
  • EMEA digital signaturesRenewal under eval
  • SEC reporting3 alternatives surfaced

Activity by team · last 30 days

Procurement
38
Enterprise Architecture
31
SAM
26
FinOps
19
Security
14
Category managers
11

Generic AI

  • Answers one person at a time
  • Doesn't see who else asked the same question
  • Can't aggregate spend in flight across the org
  • No CIO view, no CFO view, just chat
  • Every conversation is a private dead-end

Samplify

  • Aggregates every question across every team
  • Surfaces that four teams just asked the same thing
  • Shows the $4.2M of spend in flight before it lands
  • Renewals, duplicates, compliance, all visible to the executive
  • Every answer adds to a pattern only the org-wide layer can see

You can't aggregate requests across people in a generic AI. The conversations don't connect. Sam does.

Insight and oversight on every software decision in flight. No other AI company is willing to give you this view.


Six months in

What an enterprise rollout actually delivers.

Six months after deployment, here's what changes for procurement, EA, SAM, FinOps and the executive layer.

$2M

Duplicate spend prevented

Every single month, on top of avoided renewals and consolidations.

01 · Time reclaimed

300+ hrs/mo
BeforeWith Sam

Across procurement, EA and SAM combined. Hours that used to go to back-and-forth analyst work.

02 · Decisions delivered

700+
Buy Renew Replace Reject

Consolidation calls actioned in under 90 days. Every one with a verb, a rationale and sources attached.

03 · Rationalisation

4,000 1,000
4k apps1k apps

Apps under EA governance, 75% reduction. Approved, contracted, owned.

04 · Response time

<4 minutes
Today2 weeks
With Sam3m 42s

Average time from question received to answer delivered, across every category.

05 · Departments live

6
Procurement EA SAM FinOps Security Category mgmt

Functions asking Sam, all visible to the CIO and CFO in one Samplify Dashboard.

06 · Answer accuracy

100%

Every claim cites the contract, vendor doc, release note or review it relied on. Nothing returned without a source.


Try it on your stack

The easiest way to understand it is to try it.

That's why we offer 30 days, free. Start by sending Sam an email.

Start your 30-day proof See how it works