RFQ & quote automation
Turn quote-request emails, PDFs, and spreadsheets into structured quote queues, extracted line items, draft replies, and CRM/ERP-ready records.
Agentia Studio helps operations-heavy businesses turn messy manual processes into working software — dashboards, automations, AI workflows, document extraction, integrations, and internal tools.
Start with one workflow. Ship a working V1. Improve it into a system your team can rely on.
Most teams already run on CRMs, ERPs, spreadsheets, inboxes, forms, calendars, and databases. The problem is the work between them — and it usually falls on one overloaded person.
Agentia builds the missing software layer between your tools — so the workflow stops depending on manual copying, checking, routing, and follow-up.
Quote requests arrive by email and PDF.
Orders get copied by hand from one system into another.
Staff keep shadow spreadsheets because the main system is too rigid.
Managers cannot see what is stuck or where work is sitting.
Customers wait while the team manually checks, copies, routes, and follows up.
AI tools help in pieces, but they never become the full workflow.
We help you map, build, integrate, deploy, and improve custom workflow software around the way your team already works.
Start with one workflow. If it works, expand into the next one.
Turn quote-request emails, PDFs, and spreadsheets into structured quote queues, extracted line items, draft replies, and CRM/ERP-ready records.
Reduce manual copying between inboxes, spreadsheets, CRMs, ERPs, and internal systems — with validation and exception handling.
Extract quote requests, carrier replies, tracking updates, and exceptions from email into structured, trackable workflows.
Convert PDFs, forms, contracts, reports, and files into structured data with review, approval, and export.
Build lightweight portals, admin panels, reporting tools, queues, and team dashboards around your existing workflow.
Use AI to help staff summarize, classify, draft, search, route, and review work — without removing human approval.
Agentia is a fit when your team has real business volume, but the workflow still depends on manual copying, checking, routing, and follow-up.
Most AI automation providers can build demos. Agentia is built for the harder middle layer: turning a messy workflow into a reliable system that connects with your real tools, handles edge cases, and is ready for your team to use.
No-code tools are useful until the workflow needs custom logic, APIs, auth, databases, permissions, edge cases, or a real dashboard.
We use AI for extraction, classification, drafting, search, routing, and decision support — not as a gimmick.
We don't force you to replace your CRM, ERP, inbox, calendar, or database. We build the missing layer around them.
Most business workflows shouldn't be fully autonomous on day one. We design review queues, approval steps, logs, and handoff points.
Start with one workflow, one team, one measurable problem. Ship a V1 before expanding.
You get the working system, Loom walkthroughs, documentation, deployment notes, and optional ongoing improvements.
Examples of relevant systems and workflows. Not case studies — specific results depend on the workflow, data quality, and implementation scope.
Inbound RFQ emails and PDF attachments are parsed into structured quote records with line items, missing-field flags, rep assignment, and draft replies.
Customer quote requests, carrier responses, and tracking updates are extracted from email and organized into a dashboard with draft replies and exception alerts.
Contracts, quotes, forms, and PDFs are converted into structured data with side-by-side review, comparison, and approval.
A custom dashboard that centralizes work queues, team assignments, status tracking, reporting, and admin visibility.
These represent systems and workflows we can build. Specific results depend on your workflow, data quality, and implementation scope — they are not guaranteed outcomes.
Most projects begin with a small, fixed-scope workflow before expanding into a larger internal system.
A focused review of one business process: current tools, manual steps, automation opportunities, risks, and a recommended V1 scope.
Teams that know a workflow is painful but need help scoping the right first build.
A working prototype built on sample, sanitized, or limited workflow data — enough to prove the workflow before production.
Teams that want to prove the workflow before committing to production integration.
A production-ready internal tool, workflow automation, dashboard, or integration layer your team can rely on.
Businesses ready to replace manual work with a reliable internal system.
Ongoing support, improvements, monitoring, workflow changes, and new features after launch — so the system keeps getting better.
Teams that want a reliable partner to keep improving the system after launch.
Scope rules of thumb: a Prototype Sprint proves one workflow on sample data; a Production Build is the live system with integrations, auth, and a database. Larger multi-system roadmaps continue under the retainer.
Five steps from a messy manual process to a working system — starting small, on sample data, before anything touches production.
We review the current process: inputs, tools, manual steps, exceptions, approvals, and the outcome you want.
$ workflow.map · inputs · tools · exceptionsWe define the smallest useful version: what it does, what it does not do, what data it needs, and how success is measured.
$ scope.lock · v1 · success=measurableWhere possible we start with sanitized samples, exports, or screenshots before touching any production systems.
$ build.run · data=sanitized · prod=untouchedYour team reviews the workflow, edge cases, outputs, dashboard, and approval steps before anything goes live.
$ test.team · edge-cases · approvalsWe deploy the system, document it, walk your team through it, and optionally keep improving it over time.
$ ship · deploy + docs + loomYou do not need to hand over production access on day one.
For production builds, we define access, deployment, data handling, permissions, and handoff clearly before implementation.
Human approval is built into sensitive workflows by default.
Short answers to the questions that come up most often when businesses first talk to us. If yours is missing, send it along with your workflow.
Still curious? Describe the workflow with whatever context you already have — we'll respond with the right next step.
→ ask anythingTell us about the process, the tools involved, and what your team is trying to improve. Pick a time below — a 30-minute call is usually enough to decide the right first build.