A new category
The decision layer for enterprise software buying. Defensible procurement answers in under four minutes. Stack-aware. Feature-level. Evidence-backed.
Proof
Weeks of analyst back-and-forth, collapsed into one sourced answer.
Should we approve the WeChat Enterprise request?
Microsoft Teams already covers messaging, video and channels for 12,400 licensed seats. WeChat duplicates 92% of those capabilities and adds compliance review for cross-border data.
" Do we already own something that does this?
What used to be a procurement project. Now one email, every claim cited.
Ben Maudlin · Software Asset Management Lead
"What used to take a month now takes five to ten minutes with Samplify. We've doubled our throughput."
This SAM team got ahead of the decision process and enabled their team to perform better and faster. They added the decision layer.
Weeks → Minutes
Weeks of analyst back-and-forth, collapsed into one sourced answer.
From a buyer's email · Enterprise software team
"I've asked one of my team to build a recommendation as we have several tools that offer similar functionality. This will likely take a few weeks as we need to engage with several teams and understand the tooling offering vs what we use vs Samplify."
I guess a manual version of what Samplify offers.
The problem
Impossible to know what they all do. Departments buy independently. Vendors bundle, rename and retire products faster than anyone can keep up with.
Every person makes their own calls. Different AIs, different vendor sites, different tools. Nobody inside the company sees those requests in flight until the contract is already signed.
Procurement tools, CMDB, software asset management, enterprise architecture, finance, and the spreadsheets nobody admits to. Every system holds a partial truth. Reconciling them is its own full-time job.
Procurement and SAM teams are buried. Every request needs proper research and there's never the time. Your sharpest people are permanently on the back foot.
The hidden cost
What you already own. What's already approved. And what every new contract really costs once legal review, security assessment, vendor onboarding and team training are counted in.
of an enterprise software estate overlaps with itself. Tools that do the same job, sitting under different owners.
the number of PDF readers a typical enterprise needs. Multiplied across every category, that's the shape of the waste.
is what an analyst spends working out what one tool actually does. Before legal review, security assessment, vendor onboarding or team training even begin.
of annual software spend. The minimum savings Samplify clients run at, six months in. Scales with you, whatever your size.
The gap
SAM, SaaS management, EA systems and analysts each see one slice of the truth. None sees the whole question, and none answers in minutes.
↓ Each system below feeds Sam its slice of the truth
Does
Track licences, ownership and compliance posture.
Misses
Don't read vendor documentation. Can't tell whether a new tool's capability is already covered by what's licensed. Won't recommend a replacement before the contract is signed.
Does
Track usage, spend and renewal dates.
Misses
Don't compare features at the level the requester actually needs. Don't know what's available under your enterprise agreement. Don't sit at the request layer where decisions are made.
Does
Map architecture and dependencies.
Misses
Don't read the request. Can't compare a candidate vendor's real capability against what your stack already covers. Don't return a defensible answer in minutes.
Does
Can investigate any question.
Misses
Can't scale to every request. Can't keep evidence current as vendors rename and re-bundle. Can't be queried by every team in real time.
Samplify does not replace any of these. It enhances them, in real time, at the moment you need to decide.
Why your AI is wrong
Five specific reasons. Each one breaks the answer in a way the output will never show.
01 · Hallucination
Domain-specific AI benchmarks. Range across enterprise LLMs: 15% to 52%.
Domain-specific AI hallucinates on roughly one in five factual questions. Procurement decisions sit in that category. The wrong answers look exactly like the right ones, so you cannot tell which one in five.
How Samplify solves it
Every claim cites the source it came from. A multi-agent overseer verifies the sources before answering. If we are not confident, we say so and escalate.
02 · Visibility
Generic AI
Many private chats. You see none of them.
Samplify
Every request logged. Every answer sourced.
Every team member is asking their own ChatGPT, Claude or Copilot in private. You cannot see the questions, you cannot see the answers, and you cannot see what they are about to act on.
How Samplify solves it
Every request flows through one inbox. Every answer is logged with sources. You see exactly what your organisation is asking before they act on it.
03 · Context window
Contracts, policies, renewals, usage. All at once.
A 200,000-token context window cannot hold your full software estate, your contracts, your renewals queue, your policy catalog and your team usage data at the same time. Generic AI sees a slice and answers as if it sees the whole.
How Samplify solves it
Retrieval over 50,000+ records. Every query pulls only what is relevant by exact match, semantic match and policy filter. Nothing about your estate is left out.
04 · Stale knowledge
Foundation models are trained on a snapshot. They do not know about the acquisition last quarter, the rename two months ago, the enterprise agreement you signed in March, or the regulator's new guidance.
How Samplify solves it
A living catalog. Vendors get acquired, renamed, retired. Your contracts and policies update. Sam knows.
05 · Cost at scale
$500
per 10-product comparison
8 figures
at portfolio scale
A serious 10-product, 10-feature comparison on the live web costs around $500 in API and retrieval. Multiply that by every category, every team and every renewal in your estate. The naive bill hits eight figures fast.
How Samplify solves it
Caches research. Reuses evidence. Routes simple lookups away from expensive agents. The bill scales sublinearly.
All five reasons your AI is wrong. Samplify is wrong on none of them.
What sits between the question and a safe answer
Four layers of infrastructure stand between a procurement question and a decision worth acting on. Buying the right thing, not buying it twice, and not wasting another dollar on tools you already own.
Catalog
Slack Enterprise Grid, Office 365 E5, acquired vendors, renamed products, internal aliases, bundled modules. Generic AI sees a name. Samplify sees the record. Deduplicated across every system that touches software.
Features
"Reporting" can mean a static dashboard, row-level permissions, scheduled exports or embedded analytics. Samplify breaks each feature into testable sub-capabilities and grounds the answer in source documents. Not the vendor's marketing claim.
Policy
Approved, restricted, preferred, under enterprise agreement, blocked for regulatory reasons, allowed only for certain teams or data types. Sam answers inside those rules. Generic AI doesn't know the rules exist.
Cost
A naive ten-product, ten-feature comparison can run to $500 in search and reasoning. At portfolio scale, the naive bill hits eight figures. Samplify caches evidence, precomputes similarity clusters and routes simple questions away from expensive agents.
The answer shape
Know what to BUY, RENEW, REPLACE or REJECT. Sam grounds every answer in three layers of context: your existing stack, the live market, and where your enterprise is going.
Should we approve ChatGPT Enterprise for 4,200 knowledge workers?
M365 E5 already includes Copilot for all 4,200 users in scope. Adoption is 38%. A usage problem, not a licence problem. A second AI assistant adds $2.5M/year for capability already paid for.
Calendly renewal is up. Should we renew at 1,180 seats?
M365 Bookings is already entitled and covers external scheduling, round-robin and team availability. 96% feature parity. Migrate over a quarter and recover $186k/year.
Do we have anything that maps our AI usage to EU AI Act categories?
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.
Datadog renewal at $4.1M. Replace with Azure Monitor or renew?
Azure Monitor covers 71% of in-scope features but lacks the APM and security signal correlation 14 production teams depend on. Migration cost exceeds three-year savings. Renew at -8% on the negotiated band.
Meet Samplify
Samplify helps enterprises decide what software to buy, renew, replace or reject, using market intelligence plus their actual software stack.
Buy · Renew · Replace · Reject
Learns what you own. Every contract, seat, renewal date, owner and approved alternative.
Compares capability, not just category. WeChat doesn't lose to Teams on label. It loses on the feature overlap.
Every answer cites its sources. Every recommendation traces back to a contract, an inventory record or a security review.
As used by
Mature SAM teams. Sophisticated procurement functions. Estates that already know what they own.
ROI
Our clients save a minimum of 5% of annual software spend.
Try it yourself
Run it on your stack, your questions, your teams, and judge for yourself. If we don't deliver the results you want in 30 days, walk away.
Real questions · Real stack · Real teams