AI agents that read, route, and resolve.

We build custom AI workflows that parse documents, apply cash, classify communications, and resolve exceptions — embedded inside the integration flows that actually run your business. No chatbots. No demos. Production-grade automation grounded in real ops.

Scope an AI build → See live builds →

Embedded in your integration flows

Human-in-loop where it matters

Monitored, logged, versioned

— AI AGENT · LIVE PARSE

Not chatbots. Not demos. Production agents inside your real workflows.

Every AI agent we build sits inside an integration flow — reading a real document, making a real decision, posting a real record into your ERP. They're monitored, retried, and documented like any other production system.

They live in production.

AI agents run as workflow steps inside Celigo or your iPaaS, not as standalone tools. If the step fails, monitoring catches it. If it needs review, it routes to a human.

They have a real job.

Each agent is scoped to one workflow — apply this payment, parse this invoice, resolve this exception. Not "general assistance."

Transparent unit economics.

Smart model selection per task. Caching where it makes sense. Token spend reported transparently in the dashboards we build alongside the agents themselves.

You stay in control.

Confidence thresholds, escalation paths, and full audit logs. The agent does the routine; your team handles what only humans should.

Seven AI workflows we ship most.

Patterns we've built repeatedly across ecommerce and order-to-cash teams. Every engagement starts with mapping your workflow to one of these — or building something adjacent.

WORKFLOW · 01

Vendor invoice parsing → NetSuite

Inbound PDF invoices read by a multimodal agent. Vendor matched. Line items extracted. Posted as NetSuite vendor bills with the right GL coding. Exceptions routed to AP for review with confidence scores attached.

PDF + image invoices supported
Vendor matching against NetSuite records
Tax + line-item GL coding rules
Confidence-scored exceptions

WORKFLOW · 02

Cash application + remittance matching

Incoming payments rarely match invoices cleanly. An agent reads remittance advice — PDF, email, or EDI 820 — matches against open AR in NetSuite, handles partial payments and short-pays against your rules, and posts cash with a full audit trail.

Remittance parsing (PDF, email, EDI 820)
Multi-invoice payment matching
Short-pay and dispute rules
Direct post to NetSuite AR

WORKFLOW · 03

Inbound email classification + routing

Shared inboxes drowning in tickets? An agent reads each message, classifies intent (order issue, return, B2B inquiry, escalation), and routes to the right queue or person — with the right customer and order context attached.

Multi-class intent classification
Customer / order context auto-attached
Slack / Zendesk / Front routing
Human override always available

WORKFLOW · 04

Order exception resolution

SKU mismatches, price discrepancies, inventory shortfalls — most can be resolved by rules + judgment. An agent applies your business logic, fixes what's safe to fix, escalates what isn't, and logs every decision.

Configurable rules per exception type
Auto-resolve under confidence threshold
Slack alert + reasoning trail on escalation
Full audit log in NetSuite

WORKFLOW · 05

EDI parsing + exception handling

EDI is rule-based until it isn't. Non-standard partner formats, missing fields, malformed segments — an agent reads them, normalizes against your spec, and resolves the routine. Real exceptions route to humans with the partner's actual document attached.

ANSI X12 + EDIFACT support
Partner-specific format normalization
Exception triage with reasoning trail
Plays inside Celigo EDI flows

WORKFLOW · 06

Document + form extraction

Purchase orders, BOLs, packing slips, customs forms, contracts — structured data pulled from unstructured documents and posted into the right system. EDI you don't have to build EDI for.

Multi-page document support
Custom schemas per document type
Validation against business rules
Direct post to NetSuite / 3PL / WMS

WORKFLOW · 07

Data lake + warehouse services

We build and manage the data layer your AI and analytics run on — a governed warehouse or data lake on Snowflake or your platform of choice, fed by pipelines from your operational systems and modeled for agents and dashboards alike.

Warehouse / data lake architecture + setup
Pipelines from ERP, commerce, and 3PL data
Modeling + governance for AI consumption
Feeds the same dashboards your team runs on

In production today

AI agents running for ecommerce, distribution, and SaaS clients across the patterns above.

See active builds →

Custom agents for the workflows that don't fit a catalog.

These seven are the patterns we ship most. They're not the only ones. We've built agents for marketplace listing reconciliation, returns triage, fraud-screening on high-AOV orders, contract redlining, inventory forecasting overrides, and dozens of one-off workflows. If it has a clear job, a measurable outcome, and a place in your existing systems — we can scope it.

Custom Agents

Built to your specific workflow.

Same tailored, monitored-in-production playbook as our standard builds. We scope the workflow, evaluate whether AI is the right tool, and ship in four to a structured timeline. If we don't think it should be built, we'll tell you that too.

Start with a workflow →

AI-Powered Dashboards

Operational dashboards with AI built in.

Real-time views into your ops with AI summaries, anomaly detection, and natural-language queries against your data. Built on top of the same integration flows running your business, so the data is always current.

See dashboards work →

Built by people who've shipped AI in production — and watched it break.

The hard part of AI automation isn't the model. It's everything around it — error handling, monitoring, fallback logic, cost control, human escalation. We've shipped enough of these to know where they fail.

Right model for the task — not GPT-4 for everything
Eval suites so we know when a prompt regresses
Fallback paths when the model is unavailable
Cost dashboards that show exactly what you're spending
Versioned prompts you can roll back

ai-agent / cash-app-v2

healthy

Today's runs

847

▲ 12% vs avg

Auto-applied

94.2%

— stable

Cost · last 24h

              $3.84 today
              $0.0046 / doc
            

Sample agent monitoring view — embedded inside an integration flow

AI that pays for itself.Or doesn't ship.

500+

Projects shipped

Limited

Projects per quarter

What a BuMa AI agent looks like running.

A real production trace from a vendor-invoice agent — sanitized. The agent reads, validates, posts.

buma-ai · vendor-invoice-agent · trace

RUNNING

When the AI isn't sure, your team decides.

Below the confidence threshold? The agent surfaces context-rich escalations in Slack — with the actual document, parsed values, and one-click actions. Not raw error dumps.

ai-exceptions

production · 3 members · 24/7 monitoring

LIVE

BuMa AI CASH APP 9:14 AM

Multi-invoice payment received. Three invoices match within tolerance — need human review on the third.

payment: $24,847.50 from ACME Corp

matches: INV-2871 ($12,000), INV-2872 ($8,400), INV-2884 ($4,447.50)

confidence: 82% · short-pay on INV-2884 needs approval

BuMa AI INVOICE PARSE 9:18 AM

Vendor invoice parsed but tax line doesn't reconcile against the subtotal. Posting paused.

vendor: Walters Supply Co. · invoice: #W-19284

subtotal: $4,840.00 · tax extracted: $387.20 · expected: ~$397.88

delta: $10.68 (0.22%) · confidence: 71%

BuMa AI EDI EXCEPTION 9:21 AM

EDI 850 from new trading partner — UoM mismatch on 3 line items. Mapped automatically, flagging for verification.

partner: Mid-Atlantic Distributors · PO: MAD-44892

resolved: EA → BOX (3 items) · UoM rule applied from training set

confidence: 94% · auto-posted to NetSuite SO-#3491

AI agent notifications, your phone, anywhere.

When the agent needs you, you don't need to be in front of a laptop. Approve a match, re-route an exception, or override a decision — from the same notifications you already check.

Push notifications via Slack mobile, iOS, or Android — no separate BuMa app to install
Approve / re-route / reject actions from the notification itself
Context-rich: confidence score, parsed values, links to the source document
Daily digest of low-priority items so the urgent ones stay readable

9:425G ●●●

Notifications

BuMa AI

9:42

💰 Cash app match needs approval — $24,847.50 from ACME Corp · confidence 82%

BuMa AI

9:38

📄 Vendor invoice parsed · Walters Supply · tax variance $10.68 (0.22%) · posting paused

BuMa AI

9:21

📦 EDI 850 from Mid-Atlantic Dist. · UoM auto-resolved · posted to NS · 94%

Earlier today — 18 more

Four to a structured timeline. Tailored deployment. Shipped in production.

AI builds run on the same playbook as our integration work — discovery, scope, build, ship. No open-ended R&D budgets. No "we'll figure it out as we go."

Workflow mapping

We watch the current manual process. Identify what's rule-based and what needs judgment. Confirm AI is the right tool — or recommend you don't build it.

DeliverableWorkflow map, eval set, scope document.

Agent build

Prompt engineering, schema design, integration wiring. Eval suite running daily. Confidence thresholds tuned against your historical data.

DeliverableWorking agent in staging, eval results, cost projection.

Shadow + go-live

Agent runs alongside humans in shadow mode first. We compare outputs. Once confidence is calibrated, we cut over with rollback ready.

DeliverableProduction deploy, monitoring dashboard, runbook.

Drift + retrain

Models change. Your business changes. We monitor for drift, retrain when needed, and update prompts as edge cases emerge. You see every change.

DeliverableVersioned prompts, drift alerts, quarterly review.

Questions on AI work.

Not finding what you need? Ask us directly →

Cash application, vendor invoice parsing, EDI exception handling, and order exception resolution are the four we've shipped most — they're the highest-ROI builds for ecommerce and order-to-cash teams. Document extraction and inbound email classification round out the common patterns. Beyond those, we build custom — but we'll always start by checking whether your workflow maps to something we've already done. Faster build, lower risk.

Whichever fits the workflow. Frontier models for complex reasoning, smaller models for high-volume classification, embeddings for retrieval. We benchmark against your actual data before locking in a choice. You don't pay for a frontier model on a task a smaller one handles fine.

Schema-constrained outputs, confidence thresholds, and human-in-loop review for anything below threshold. The agent extracts structured data and posts it — it doesn't generate free-text. Combined with validation rules against your existing systems, the risk surface is small and observable.

Per-document cost is typically under a cent for classification tasks and a few cents for complex extraction or reasoning. We model expected monthly spend during scoping and surface actual spend in your monitoring dashboard. Most engagements show clear payback within the first quarter.

Yes, but we'd push back. Standalone AI tools tend to drift, lose monitoring, and become someone's side project. Embedded in a Celigo flow (or your iPaaS of choice), the AI runs with retries, error handling, and observability — the same machinery that already governs your integrations.

Our agents are model-agnostic. Swapping a model is a configuration change, not a rebuild. We re-run the eval suite against the new model and switch when it's a clear win. You decide whether to upgrade.

Ready to Simplify Your Integrations?

Tell us about your project and we'll show you how BuMa can help.

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Ready to put AI on the work humans shouldn't be doing?

Tell us about one workflow eating your team's time. We'll tell you honestly whether AI is the right tool, and what it would take to build it.

Talk through your workflow → See what we've shipped →

Response in 24h

Strategic consultation

30 min · No prep

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