Managed AI Operations
Tapestry turns recurring business workflows into managed, evidence-backed operations. Role-scoped AI specialists prepare finished work, your people approve consequential decisions, and our team keeps the operation working.
Good morning, Sarah.
3 things need your attention.
Illustrative Sample · Fictional company · Synthetic data
Packaging Cost Exposure
Imogen · Finance
Aluminum benchmark increased 7.8%.
Estimated Q4 exposure:
+$184,200
Dex reviewed current supplier agreements and identified a pricing window that could offset approximately $71K.
Invoice Exception
Imogen · Finance
Invoice #44821 differs from PO #11703.
Difference:
$12,480
Dex verified the supplier terms.
Supplier Performance
Dex · Procurement
Three suppliers fell below the agreed OTIF threshold this month.
1 requires action
7:00 AM
Weekly exposure review started
Scheduled7:19 AM
Q4 Packaging Exposure Brief ready
3 sources cited8:12 AM
Approved by Sarah · filed OPS-1147
CompleteWorks with the systems your business already depends on
Microsoft 365
Google Workspace
Slack
Microsoft Teams
QuickBooks Online
NetSuiteConnected by role. Governed by approval. Recorded end to end.
Show the operation
Tapestry does not stop at an answer. Each operation has a trigger, defined responsibilities, source knowledge, an acceptance standard, a finished work product and the review your organization requires.
Illustrative Sample · Fictional company · Synthetic data
Weekly input-market review begins
Illustrative Beverage Company · recurring operation OPS-114 · no one had to remember to start it.
Prepares
Finance specialist
Builds the exposure analysis from the benchmark movement and the volume forecast.
Verifies
Procurement specialist
Checks every supplier term used in the analysis against the current agreement.
Each role acts only within its defined responsibility.
Benchmark movement this week increases modeled Q4 input exposure. One contractual adjustment window is open under §4.2 of the current supply agreement.
3 sources cited · figures traceable end to end
Acceptance checks
Approval boundary
Executive approval required
No purchasing commitment can proceed from this brief without sign-off. The approval boundary is part of the operation, not a courtesy.
Illustrative Sample · Fictional company · Synthetic data
Product plus people
Tapestry is a proprietary platform operated with you by the people who build it. The platform does the recurring work; our team is accountable for the operation working.
The platform provides
Tapestry's team
Work arrives finished. Decisions arrive ready.
Illustrative Sample · Fictional company · Synthetic data
Not software alone. Not consulting alone. A working AI operation.
The operationalization gap
Getting access to AI is no longer the challenge. Making it a dependable part of how the business operates is. Three failures account for most of the gap:
01Generic AI lacks operating context
It does not inherently understand the company's documents, terminology, responsibilities or decision process.
02Nobody owns the finished result
Employees remain responsible for prompting, checking, correcting and following through.
03Unmanaged workflows quietly degrade
Models, tools and business requirements change. An operation without an accountable owner stops being dependable.
What Tapestry establishes
Tapestry is a persistent operating environment where your company knowledge, role-specific AI specialists, defined workflows, finished work products, evidence, and human approvals work as one system.
Everything it produces feeds an operating record your team can inspect, and an improvement loop our team actively manages.
Inputs
Company knowledge
contracts, policies, documents, data
Tools & systems
ERP, files, email, connected apps
The operation
AI roles & responsibilities
scoped to real jobs
Business workflows
recurring and event-driven
Outputs
Work products
briefs, analyses, reconciliations
Evidence & citations
every result traceable to sources
Control
Human approvals
your boundaries, enforced
Operational history
who did what, with what, when
Continuously monitored and improved
ManagedGovernance and control
Tapestry monitors, analyzes, and prepares work on its own, then stops at the boundaries you define. Nothing consequential happens without the review your organization requires.
Supplier Commitment
$182,400
Action · approval required
Accept supplier pricing through Q4.
Evidence
Illustrative Sample · Fictional company · Synthetic data
Every decision retains its evidence, work history and approvals.
Representative operations
Every Tapestry deliverable has a trigger, the company knowledge it drew on, a responsible specialist, and a review step. Here is what that looks like for three recurring operations.
Illustrative Sample · Fictional company · Synthetic data
Work product
Invoice Exception Report
Purpose: Exists so billing discrepancies are examined, not absorbed
Work product
Q4 Packaging Exposure Brief
Purpose: Exists so input-cost movement is reviewed before it lands in margin
Work product
Supplier RFP Evaluation
Purpose: Exists so sourcing decisions rest on documented scoring
Start focused
You don't need an AI transformation program. You need one dependable operation, then another.
That's deliberate. It keeps risk small, makes value measurable, and lets the operating record justify each expansion instead of a sales deck.
Select one valuable recurring workflow
Something the business already depends on, not a science project.
Define the output and acceptance criteria
What good looks like, agreed before anything runs.
Deploy it with controls
Permissions, evidence requirements, and approvals from day one.
Measure the result
Judged against the criteria you set, not a demo impression.
Expand into adjacent work
Proven capability earns the next workflow.
Bring us one workflow your business depends on. We'll map how it would run inside Tapestry, from the knowledge and the specialist to the deliverable and the approvals. Then you decide if it's worth operating.
