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Capture
Every sourcing event, vendor conversation, contract negotiation, and exception produces a structured record of what was decided and why.
Cotiss reads emails, SharePoint, meetings, contracts, and communications under role-based scope.
Cotiss is the procurement context layer, turning data like emails, invoices, meetings, and contracts into queryable intelligence that drives every procurement decision, action and outcome.
Your ERP records the transaction. Your P2P platform records the approval. Your contract repository records the document. None of them record why: why you chose this vendor, why the contract carries that clause, why a strategy that worked in 2021 is suddenly underperforming, why a regional team runs a different vendor than central policy mandates.
That reasoning lives in emails, meeting transcripts, message threads, and the heads of the people doing the work. It's the operating logic of your procurement function, and it's invisible to every tool you have already paid for. Every initiative runs into the same wall: the systems of record do not hold the context. The context lives somewhere else.
The Platform
Cotiss is built for one job: turning the unstructured material your procurement function generates every day into structured, queryable, audit-grade context.
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Every sourcing event, vendor conversation, contract negotiation, and exception produces a structured record of what was decided and why.
Cotiss reads emails, SharePoint, meetings, contracts, and communications under role-based scope.
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Cotiss represents procurement reality as a connected model: categories, vendors, contracts, clauses, policies, regional rules, and delegations.
Your existing systems don't have this. Most enterprise data lakes don't either.
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Cotiss holds the reasoning across people, time, and turnover. Decisions from 2022 stay queryable in 2027.
Category memory survives org changes, system migrations, and turnover.
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Cotiss exposes everything as an endpoint your team and AI agents can call, with native MCP support.
Works alongside Zip, Oro, Coupa, Ariba, your own LLM stack, and Cotiss reporting.
Pipeline assembly
Follow how Cotiss converts everyday procurement activity into the structured context layer your team and AI agents can use.
Notes
1. Process: Emails, SharePoint files, meeting transcripts, contracts, invoices, and procurement records enter the context layer.
Connects to the places procurement work actually happens.
From the blog
Procurement vendors are starting to talk about context. The distinction matters: Cotiss is built for the reasoning layer that systems of record and agent workflows usually miss.
Read the full post →Structured-data context
Most tools enrich what already lives in ERP, P2P, and contract systems. Useful, but it still misses the reasoning behind the data.
AI agents over the data
Agents can draft, recommend, and automate, but they need a durable record of why decisions were made to act with real understanding.
Unstructured-reasoning context
Cotiss captures the why behind procurement decisions from emails, documents, meetings, and conversations, then makes it queryable.
In practice
One context layer. Outcomes for procurement, operations, and finance.
Procurement teams know they're invisible until intake, by which point the vendor, the price, and the timeline are already locked in. Cotiss reads vendor activity across emails, meetings, and Slack, surfacing buying signals weeks before a request is filed. Procurement gets a seat at the table while there's still leverage to win.
Every procurement decision becomes a structured reasoning artifact: the vendor chosen, the alternatives ruled out, the constraints applied, the people consulted, the policy clauses invoked. Audit, internal compliance, and regulators get the evidence trail they've always actually wanted - not a workflow log.
Spend analytics finds duplicate vendors and missed rebates from transaction data. Cotiss finds the rest - unwritten vendor exceptions, off-contract reasoning that's been forgotten, rebate eligibility hidden in negotiated clauses, value lost from category strategies that were never documented.
When a category manager leaves, their working knowledge usually walks out with them. Cotiss makes sure the reasoning behind their decisions stays. Successors reach productivity in weeks rather than quarters. Onboarding stops resetting to zero.
Post-merger vendor and contract rationalization usually takes months because the reasoning behind incumbent vendor choices is locked in artifacts no one can find. Cotiss turns it into a queryable workspace: termination clauses, dependency risks, parallel vendors, regional variations - all surfaced in days.
Every procurement agent your organization pilots - your own, Zip, Oro, Copilot, or anyone else's - is only as good as the context it can call. Cotiss exposes the procurement context layer as a native MCP endpoint. Agents call Cotiss to act with reasoning, not just data.
Vendors promise things in meetings, emails, and side conversations that never make it into the contract. Cotiss captures those commitments at the moment they're made, and surfaces them at renewal - so the contract reflects what was agreed, not what was forgotten.
These are the most common starting points. The context layer adapts to the specific language, structure, and priorities of your organization.
From the blog
Most organizations treat vendor information like paperwork. In reality, it is decision context — and when that context is fragmented, the organization is flying blind.
Read the full post →Procurement and Finance
General ledger data tells you what you spent. A context layer surfaces shadow spend, missed rebates, and renewal exposure before they become emergencies.
Legal and Compliance
Every clause, exception, and commitment traceable back to the conversation that produced it. Contract review compresses when the history is visible.
Internal Audit
Connect approvals, communications, documents, and outcomes into audit-grade evidence trails — the artifact regulators have actually wanted.
Where Cotiss fits in your stack
Cotiss is the context layer alongside them. Your existing systems keep running transactions and routing workflow. Cotiss captures everything those systems were never designed to hold.
Records transactions. Routes approvals. Stores contracts. Logs workflow events. Reports spend.
Captures the why behind every decision. Reconstructs reasoning across people and time. Exposes it as live, queryable context for humans and agents.
Procurement is invisible until intake: vendor, price, and timeline already locked.
Cotiss surfaces vendor activity weeks before intake.
Decisions die when category managers leave. Successors restart from zero.
Decisions stay queryable across people and time.
Audits rely on email archaeology and tribal memory.
Audits run on structured evidence trails with cited primary artifacts.
Vendor commitments live in meetings and emails and never make it into the contract.
Every vendor commitment is captured at the moment it's made, and surfaced at renewal.
AI agents act on transaction data without the reasoning context.
AI agents call Cotiss via MCP for decision-grade context, on demand.
Spend analytics finds duplicate vendors. Hidden leakage stays hidden.
Cotiss finds the leakage that lives in unwritten exceptions and forgotten reasoning.
Category strategy lives in PowerPoints, emails, and people's heads.
Category strategy becomes a structured, queryable layer your whole function can use.
Category strategy
Write your category rules, vendor preferences, and policy exceptions in plain English. Cotiss reads every decision against them - and flags the ones that don't fit.
Most procurement organizations have hundreds of pages of policy, dozens of category strategies, and a small number of unwritten rules everyone in the function knows. None of it shows up in your ERP. None of it is read by your AI agents. Cotiss turns that knowledge into the rules the system runs on.
No code, no config files, no consultants. Plain English, written the way you'd brief a new hire. Updated whenever your strategy changes.
Book a demo →Three ways customers use plain-English rules in Cotiss
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For cleaning services in the APAC region, we run a dual-vendor strategy after the 2024 reliability review. Vendor A is preferred for tier-1 sites; Vendor B for tier-2 and below. Single-source exceptions require regional CPO sign-off.
Cotiss enforces this against every cleaning-related decision.
Cotiss is built for procurement functions where every decision has to hold up under scrutiny - our existing customers include organizations across government, banking, healthcare, utilities, and any enterprise where audit, compliance, and continuity matter.
Security & trust
Transparency
Trace every procurement answer back to the source that produced it.
Most AI tools give you an answer. Cotiss gives you an answer and shows you exactly where it came from.
Every decision Cotiss captures, every commitment it surfaces, every risk it flags, traces back to a primary source: the email thread, the meeting transcript, the contract clause, or the message where someone agreed to something that never made it into the document.
That trail exists because we built it to. Not as a feature added later, but as the architectural principle the whole product is built around. We call it Drill Down.
When your procurement decision gets questioned by an auditor, regulator, board, or vendor, "our AI flagged it" is not an answer. A cited source document is. Cotiss is built for that moment.
Accuracy
During implementation, Cotiss works with your team to map the specific language, structure, and nuance of your organization into the workspace. Vendor naming conventions, category-specific terminology, internal policy exceptions, the way your business actually talks about procurement.
That configuration is what makes inference accurate. Not a model trained on your data - a workspace built to understand your reality from day one.
Step 01
Built to understand procurement natively. Categories, clauses, commitments, and exceptions are first-class concepts, not inferred from general language models.
Step 02
During implementation, we work with your team to map the specific terminology, structure, and nuance of your organization into the workspace. The result is inference that understands your business, not a generic standard.
Step 03
Every conclusion traces to a source. Not because we hedge - because accuracy without evidence is just confidence.
The Data Landscape
Most tools see one layer. Cotiss reads them all. Every layer of your vendor data, connected.
Commercial intelligence
Every vendor signal you can imagine, captured from across your scattered data.
Inaccessible data
Missing data nested in email threads
Unstructured data
Files, emails, documents & messages
Structured data
Spreadsheet, ERP & CLM data
Vendor visibility
In-depth vendor activity records
Vendor intelligence
Realtime reports with actionable analytics
Commercial intelligence
Connected vendor, contract, and commercial data driving profit and decision making
Get started
Under 3 weeks · Works with your existing stack · Usage-based pricing · $15,000 platform fee