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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.