Custom AI automations development
Design and build AI workflows and agents that route document-related systems and sources into controlled automated processes.
AI Agents
for document-heavy
workflows
Commercial Insurance BrokerageMTO/ETO ManufacturingArchitecture and engineering document automationSpecialist Construction SubcontractorsFacilities Management & Maintenance ContractorsTechnical Distributors & ImportersCommercial Insurance BrokerageMTO/ETO ManufacturingArchitecture and engineering document automationSpecialist Construction SubcontractorsFacilities Management & Maintenance ContractorsTechnical Distributors & Importers
Document Workflow Challenges We Solve
- Your company handles high-volume document workflows.
- Data arrives in mixed formats.
- Key details are spread across emails, PDFs, spreadsheets, scans, portals, and staff notes.
- Domain-specific terminology, product codes, clauses, and exceptions make existing AI tools unreliable.
- Manual validation slows down processes.
- Company aims to grow without increasing headcount.
Custom AI Document Automation Services
Existing tools optimization
Improve existing OCR, IDP, automation, and AI tools with better prompts, rules, routing, validation, and review workflows.
Combined approach
Combine custom AI agents, existing platforms, and system integrations where each part gives the strongest operational result.
Industries We Serve
Commercial Insurance Brokerage
Intake, renewal, claims, market submission, statement of fact, schedule, and client email workflows with source-grounded review before CRM or platform updates.
Read moreMTO/ETO Manufacturing
RFQ packs, drawings, BOMs, specifications, supplier documents, and change requests routed through extraction, validation, and controlled handoff to planning or commercial systems.
Read moreArchitecture Document Automation
Bid packs, fee proposals, drawings, schedules, consultant comments and handover documents converted into controlled workflows with reviewable source references.
Read moreEngineering Document Automation
RFQs, drawings, calculations, technical specs, supplier evidence and handover requirements organized into traceable workflow steps before technical review.
Read moreSpecialist Construction
Subcontractors
Subcontractors
Tender packs, RFQs, drawings, specifications, supplier quotes, RAMS, RFIs, variations and handover documents organized into reviewable project workflows.
Read moreFacilities M&M Contractors
Job sheets, service reports, certificates, photos, remedial quotes, asset registers and compliance packs routed through controlled maintenance admin workflows.
Read moreTechnical Distributors & Importers
Supplier PDFs, catalogues, datasheets, SKUs, quotes, purchase orders and compliance documents converted into structured product, pricing and evidence workflows.
Read morePlatform-Agnostic AI Integration
DocBeaver provides professional development and consulting services across your company's software, tools, and components. We build AI automations and agents on top of existing tools, so no software migrations are needed. Workflows remain backward compatible and can be disconnected from our AI automations at any moment. The best choice is defined by audit discoveries, proven automation practices, and client preferences.
25-80% target reduction
Published solution pages model expected reductions across document-heavy intake, checking, reconciliation and evidence review workflows.
Human review retained
Low-confidence extraction, conflicting source evidence and consequential outputs stop at review gates before system update or client-facing release.
No forced migration
Implementations are designed around current document stores, email, spreadsheets, CRM, ERP and practice-specific tools.
Methodology
To provide best results we use widely acknowledged and battle-tested combination of automation and agents. Our agents are task-specific, narrow-scoped and never act freely on their own. We incorporate them in automation workflows, so they sit tight and act safely within strict permissions, fully observable.
Most of the time, programmatic automation handles 75-85% of the work. Agents do the rest 15-25%. This combination gives the best efficiency, as it leverages automations' stability and deterministic agents reasoning.
To understand conceptually, how and when use automations versus agents, read this article.
Our Implementation Process
Audit
Map document types, manual steps, risk points, outputs, systems, and approval moments before custom AI agent development.
Prototype
Test the recommended platform, AI integration, and custom-code mix on real documents before building the full workflow.
Review design
Define where human approval is needed, what reviewers see, and how exceptions are resolved.
Implementation
Build custom AI agents for intake, extraction, validation, output generation, integrations, and logging.
Testing with real documents
Measure the workflow against edge cases, missing fields, staff corrections, and final output quality.
Deployment and improvement
Launch the process, monitor failures, and improve AI agent rules, prompts, and integrations over time.
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