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Custom AI Development

AI systems for the work your software still cannot do.

We build custom agents, copilots, and internal AI applications that read messy inputs, reason through company rules, coordinate across tools and teams, and turn operational drag into finished work. The RFQ story below is one example.

The Problem

This is what business complexity looks like.

It arrives as PDFs, emails, screenshots, calls, spreadsheets, forms, and notes from five different people. Every company has work like this: important enough to matter, messy enough that normal software does not handle it.

Step 01 — Capture

We take in the full context.

Documents, attachments, tables, handwritten notes, customer requests, system exports, call transcripts, and internal rules. Our agents are built to understand the material your team actually works from, not just clean fields in a database.

Step 02 — Structure

Messy inputs become usable data.

The system extracts the facts, requirements, deadlines, exceptions, owners, and next actions, then maps them into a clean operational record your team can search, review, approve, and act on.

Step 03 — Coordinate

The next moves happen automatically.

Agents draft messages, route requests, collect missing information, update systems, and track responses across vendors, customers, partners, and internal teams. Every action stays tied to the original source.

Step 04 — Analyze

Calls, data, and decisions come together.

Agents summarize conversations, extract commitments, compare options, apply your decision rules, and surface the best path forward with the evidence behind it. Your team reviews judgment calls instead of rebuilding the context by hand.

Step 05 — Deliver

The finished output is packaged and tracked.

Reports, submissions, approvals, customer responses, internal updates, and audit trails are assembled with the right attachments and sent through the right channels. The loop closes inside the systems your business already uses.

What you just saw

One example.
One reusable AI operating layer.

This RFQ sequence is one version of the work we build for. The same agent harness can support finance reviews, real estate diligence, customer operations, compliance checks, sales support, vendor management, and other high-context business processes.

Clean digital RFQ
Procurement Automation / Vendor Outreach
Vendor outreach dispatched
AI agent drafted and routed 14 clarification requests — zero analyst involvement.
Outreach log
📧 Acme Metals — pricing clarification, lead timeREPLIED 2h
📧 Summit Precision — ISO cert + capacity queryREPLIED 4h
📧 NorthStar Fab — alternate spec inquiryAWAITING
📧 Riverside Components — volume discount tableREPLIED 1h
📧 Pacific Alloys — material certification docsREPLIED 6h
📧 Cornerstone Mfg — delivery schedule confirmAWAITING
+8 additional vendors contacted
✅ 12/14 vendors responded · All replies mapped to RFQ line items automatically
Procurement Automation / Call Intelligence 7 CALLS
Follow-up calls completed
Agent scheduled, conducted, and transcribed vendor calls — key commitments extracted automatically.
Call log
📞 Summit Precision · Lisa Chen
Confirmed 6-wk lead time · 5% volume break at 500 units
14 min
📞 Acme Metals · Robert Hale
Alt grade approved · cert docs emailed same day
9 min
📞 Riverside Components · Dana Park
Price firm 60 days · delivery to dock confirmed
11 min
+4 additional call records on file
📋 All commitments auto-logged · 0 manual notes required
Procurement Automation / Bid Analysis ANALYZED
Bid comparison compiled
147 data points across 12 vendors — normalized, weighted, and ranked in seconds.
Vendor Unit $ Lead Wks Cert Score
Summit Precision ★ $4.62 6 94
Acme Metals $4.88 8 81
Riverside Components $5.10 5 ~ 76
+9 additional vendors scored
⚡ 147 cells processed · Recommendation: Summit Precision · Est. savings vs. avg bid: $18,400
Procurement Automation / RFQ Workspace
Quote submitted successfully
AI agent compiled and transmitted the complete response package — 0 manual steps required.
RFQ Number
RFQ-24-0417
Submitted
May 01, 2024 · 11:42 AM ET
Recipient
NorthPoint Industries, LLC
Total Quoted
$278,850.00
Submission package
Completed quote form (RFQ-24-0417)✓ Attached
Company overview + W-9✓ Attached
ISO / AS9100 certificates✓ Attached
Pricing worksheet (60-day firm)✓ Attached
Clarification responses (4 items)✓ Attached
✅ Submitted 23 hours before deadline · Est. Annual Spend flagged: $1.1M · Recommend Award: Y
Procurement Automation / Confirmation CONFIRMED
Submission acknowledged
NorthPoint Industries has confirmed receipt of your complete response package.
Confirmation ID
#NPI-2024-4827
Received by
Lisa M. Anderson, CPPB
Timestamp
May 01, 2024 · 2:11 PM ET
Review period
7–10 business days
Audit trail
09:47Requirements extracted from RFQ PDF
09:49Clarification emails drafted and routed
10:14All supplier responses received and mapped
11:40Submission package compiled and reviewed
11:42Quote submitted · Confirmed by recipient
Procurement Automation / Award Notice AWARDED
🏆
Contract Awarded
NorthPoint Industries, LLC — Award Notice · RFQ-24-0417
$278,850.00
Contract value · Est. Annual Spend $1.1M
Contract No.
NPI-CON-2024-0417
Awarded to
Summit Precision Mfg.
Start date
June 01, 2024
Performance period
12 months
✦ 0 analysts required · 0 manual emails · 100% on-time submission · Handled by DevShop AI Agent Harness
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What you just saw

One messy business process moved from intake to outcome.

The demo uses an RFQ because it shows the whole pattern: unstructured intake, context extraction, coordination, analysis, approvals, delivery, and auditability. DevShop AI applies that same pattern to the operational bottlenecks inside finance, real estate, software, services, healthcare-adjacent operations, manufacturing, and traditional enterprise.

The Build Model

Custom AI systems, built around your business.

We combine agentic AI, software engineering, systems integration, and process design to ship production-grade AI tools. Some clients need autonomous agents. Others need copilots, document intelligence, data extraction, internal search, customer-facing assistants, or AI-enabled applications. We build the version that fits the job.

01 — Discover
Find the highest-leverage use case
We map the places where expert time, messy inputs, repetitive decisions, or system gaps are slowing the business down. The goal is not "add AI"; it is choosing a problem where AI can produce a measurable operational gain.
02 — Build
Design the agent, copilot, or AI app
We configure the model behavior, data flow, integrations, permissions, review points, and user experience around your business rules. The output can live inside your existing tools or as a custom interface built for your team.
03 — Deploy
Deploy, monitor, and improve
We launch with guardrails, human review where needed, clean audit trails, and performance visibility. After launch, the system improves against real usage, edge cases, and the metrics that matter to your business.
Get Started

Where is your company still relying on manual expertise?

Book a 30-minute discovery call. We will identify one practical AI opportunity, outline what the system would need to read, decide, integrate with, and produce, then talk through what a first build could look like.

No commitment. Practical AI opportunities · 30 min call
Shell
DevShop AI Agent · voice & text
Hi, I'm Shell — DevShop AI's AI agent. I can tell you about what we do, how our agent harness works, or help you figure out if we're a fit for your business. What's on your mind?