AI Agents for Supply Chain
FISTA Solutions builds supply chain AI agents that absorb document and signal volume: extracting supplier confirmations and invoices, triaging purchase order and shipment exceptions, summarizing supplier risk with citations, drafting buyer communications, and answering planner questions from your own history.
- 150+
- projects delivered
- 50+
- companies served
- 99.9%
- verified uptime
- 47%
- efficiency gains
- 12+
- countries reached
What we build
What can AI agents do in supply chain?
Supply chain agents extract supplier documents into structured records, group and triage exceptions with proposed resolutions, summarize supplier and route risk with cited sources, draft expediting and escalation messages, and answer planner questions with the query shown.
- 01
Supplier document agent
Extracts order confirmations, ASNs, certificates, and invoices with page-level provenance and validation.
Documents - 02
Exception triage agent
Groups related order and shipment exceptions, proposes resolution, and escalates anything affecting a committed date.
Operations - 03
Risk summarization agent
Summarizes supplier and route risk from monitored sources, citing each so buyers verify before acting.
Risk - 04
Buyer communication agent
Drafts expediting, escalation, and clarification messages from order context for buyer review.
Procurement - 05
Planner question agent
Answers questions about lead-time variability and past decisions from your data, showing the query used.
Planning
Requirements
What guardrails do supply chain agents need?
Supply chain agents read documents from parties you do not control and communicate with suppliers, so guardrails cover provenance, commitment authority, and manipulation resistance, with master data validation preventing bad values from entering planning.
| Guardrail | Why it matters here | How FISTA implements it |
|---|---|---|
| Provenance | Extracted values feed planning and payment. | Page-level citations, validation against master data, and human review below the confidence threshold. |
| Commitment authority | Supplier messages can create obligations. | Approval gates on any message that commits volume, price, or date, with limits per buyer and supplier tier. |
| Source citation for risk | Unverified risk claims cause expensive overreactions. | Every risk statement cites its source with date, and the agent distinguishes reported events from inference. |
| Manipulation resistance | Documents and emails come from external parties. | Content sanitization, instruction and data separation, tool allowlists, and behavior monitoring. |
| Master data hygiene | Bad identifiers corrupt downstream planning. | Canonical identifier mapping with quarantine for unmatched records and stewardship workflows for resolution. |
Where AI fits
Which supply chain workflow should you automate first?
Start with supplier document extraction. It is the highest-volume manual task in procurement operations, has a clear accuracy measure, and requires no external communication, which makes it the safest place to establish trust.
- 01
1. Extract supplier documents
Confirmations, ASNs, and invoices arrive constantly and are read by people today.
- 02
2. Triage exceptions
Grouping and proposed resolutions cut noise while buyers keep decisions.
- 03
3. Summarize risk with citations
Buyers get earlier signal with sources they can check before reacting.
- 04
4. Draft supplier communications
Approval-gated drafting removes the writing time without ceding commitments.
- 05
5. Answer planner questions
Historical analysis on demand, with the query shown so planners trust the number.
Cost and timeline
How much does an AI agent for supply chain cost, and how long does it take?
Cost is driven by document variety, ERP integration, and master data condition; timeline by data access and supplier document sampling. FISTA does not quote blind: the scoping call returns an agent design and a phased estimate.
Master data condition determines whether extraction is useful. If supplier and item identifiers do not reconcile, perfectly extracted values still land in the wrong place. FISTA assesses that first and prices mapping and stewardship work openly.
Document variety sets the accuracy effort. Each supplier's layout is its own case, so FISTA phases suppliers by spend and measures accuracy per wave rather than promising a single number up front.
Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.
Get a scoped quoteDelivery
How does FISTA deliver an AI agent into production?
FISTA delivers agents in four gated phases: a discovery sprint that picks the workflow and writes the agent specification, a design that names tools, permissions, and approval points, a build with an evaluation harness and shadow runs on real work, and a production release with traces, dashboards, and rollback.
- 1
Select and specify
Choose the workflow with a measurable outcome, map its systems and edge cases, and write the agent spec with success metrics.
OutputAgent specification, golden test set
- 2
Design the guardrails
Tool inventory with least-privilege scopes, approval gates, escalation paths, data handling, and the evaluation plan.
OutputTool and permission matrix
- 3
Build and shadow-run
Implement tools as MCP servers or connectors, iterate against the evaluation harness, and run in shadow mode on live inputs.
OutputShadow-mode results, eval scores
- 4
Release and observe
Graduated rollout, full traces, cost and quality dashboards, on-call runbook, and a change process that re-runs the evals.
OutputProduction agent with SLOs
Why FISTA
Why choose FISTA Solutions to build your supply chain agents?
FISTA builds procurement agents that cite every value, validate against master data, and never commit to a supplier without approval. Work is contracted through a US entity with full IP assignment.
Supply Chain specifics
- Extracted values are cited and validated against canonical identifiers before reaching planning systems.
- Supplier commitments require human approval, with limits configurable per buyer and supplier tier.
- Risk summaries cite sources with dates and separate reported facts from inference.
- Documents from external parties are treated as untrusted input, with injection defenses in place.
How FISTA engineers
- Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
- AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
- Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
- One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.
What you get as a client
- 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
- A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
- US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
- Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.
Clear answers
What teams ask before deploying agents.
Straightforward guidance for evaluating scope, fit, and the next step.
01Can agents place purchase orders automatically?
FISTA builds agents that prepare orders and messages for approval rather than committing spend autonomously. Approval limits can be configured by value and supplier, but the default is human approval on anything that creates an obligation.
02How do you keep risk alerts from causing overreaction?
By citing sources with dates, separating reported events from inference, and presenting the evidence rather than a verdict. Buyers decide, and the agent's job is to surface information earlier than a manual scan would.
03What if our supplier and item data is inconsistent?
Then mapping and stewardship come first. FISTA builds canonical identifier mapping with quarantine for unmatched records, because extraction accuracy is worthless if values land against the wrong supplier or part.
04Can agents work with EDI as well as PDFs?
Yes. EDI, flat files, spreadsheets, PDFs, and email bodies all flow through the same normalization layer with per-partner mappings and validation before anything enters operations.
05How long until it is useful?
Document extraction typically reaches production within weeks once a representative sample and master data mapping exist. Communication and risk agents follow within a quarter.
Scoped in writing before you commit
Read every supplier document the hour it lands.
Bring the document backlog and the exception queue. The scoping call returns an agent design, a data plan, and a phased estimate.