01 / BEFORESequential handoffs
Sequential handoffs
Every step waits for the previous one.
Request arrives
5 sequential steps4 handoffs
Copy. Wait. Check. Repeat. Work moves from person to person and system to system.
Click a tool to inspect
AI for the work your business repeats
Automate the work between your systems.
DapperAgent connects email, documents, CRM, ERP, and internal systems into reliable automated workflows, using AI only where reasoning is actually needed.
Start small. Prove value on one real workflow.
Built for real business systems
EmailDocumentsCRMERPAPIsDatabasesInternal tools
The missing workflow layer
From manual handoffs to one reliable workflow.
Most processes are not slow because of one bad tool. They are slow because people move information between tools manually. We connect those steps without forcing a migration.
From handoffs to orchestration.
Same work. Fewer handoffs. Less waiting.
02 / WITH DAPPERAGENTParallel execution
Coordinated execution
One agent runs independent tasks in parallel and brings the results together.
Request enters DapperAgent
3 tasks in parallel1 coordinated workflow
Request once. Let DapperAgent coordinate the rest. Independent tasks run in parallel, with people involved only when needed.
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Same work. Different execution model. Animation timings are illustrative.
A pragmatic automation stack
AI where it helps. Software where it doesn’t.
AI handles reasoning. Deterministic software handles reliability.
AI handles ambiguity
Understand the unstructured.
- Read emails and documents
- Extract structured information
- Classify requests
- Understand context
- Reason when rules alone are insufficient
Software enforces certainty
Run the predictable.
- Validate business rules
- Update systems reliably
- Apply permissions and policies
- Retry failed operations
- Record actions and outcomes
Engineering behind the automation
Built on 7+ years of production software engineering.
DapperAgent is built by a software engineer with 7+ years of experience designing backend systems, APIs, cloud infrastructure, and production integrations.
AI automation is not treated as a collection of prompts. It is built as software your business can actually depend on.
Production foundations
Reliable APIs, databases, queues, retries, monitoring, and deployment.
Business integrations
CRM, ERP, email, documents, internal APIs, databases, and existing business systems.
Deliberate AI boundaries
Models handle reasoning and unstructured information. Software handles validation, rules, and critical actions.
7+ years building production software systems
Built around real operations
Automate the work your team repeats every day.
Connect information, rules, and people across the systems already running your business.
01
Incoming requests
Classify email, forms, and messages, then route only the exceptions to your team.
Explore workflow02
Documents & data entry
Turn PDFs, invoices, spreadsheets, and contracts into clean, validated system data.
Explore workflow03
CRM & sales operations
Create, enrich, qualify, and synchronize records without the repetitive admin work.
Explore workflow04
ERP & back office
Automate orders, approvals, status updates, and recurring operational handoffs.
Explore workflow05
Reports & monitoring
Collect, validate, calculate, and deliver the reports your team rebuilds every week.
Explore workflow06
Internal AI assistants
Search internal knowledge and procedures securely using natural language.
Explore workflowProject example · Tender to resale
One opportunity becomes one decision-ready task.
DapperAgent reads purchasing requirements, searches supplier sources, matches products, and calculates the business case—while the commercial decision stays human.
“The model interprets the request. Your business data decides whether the deal works.”
Illustrative workflow output
18
product positions extracted
15
supplier products matched
3
positions flagged for review
Human approval
Final commercial decision remains with your team.
How DapperAgent works
Start with one process. Prove the value.
Start with one repetitive process, validate the business case, then productionize and expand only where the results justify it.
Discover
Show us how one repetitive process actually works today.
Design
Separate AI tasks, business rules, integrations, and approvals.
Prove
Test the workflow against representative historical examples.
Measure
Compare time, errors, automation rate, and review load.
Integrate
Connect the proven workflow to your existing systems.
Improve
Monitor edge cases and strengthen the automation over time.
DapperAgent Proof Sprint
Bring us one repetitive process.
We’ll show you what can be automated, what still needs people, and what the business impact could be.