OpendoorsTech logoOpendoorsTechBook a Consultation

OpendoorsTech

AI agents are useless without integration. We make them operational.

We design and build AWS-ready integration architecture using webhooks, microservices, API orchestration, and controlled agentic workflows that plug into your real system of work.

Book a ConsultationRequest an AuditDownload Capability Statement
  • Production AWS deployments for integration workloads
  • Guardrails, approvals, and auditable action trails
  • HubSpot-first design with reliable API contracts

If this sounds familiar

  • Leads enter from multiple channels but your CRM is incomplete or outdated.
  • Your team manually copies data between WhatsApp, email, forms, and HubSpot.
  • Automations break silently and no one knows what failed.
  • You have AI tools, but they are disconnected from core operations.
  • Handoffs between sales, ops, and support lose context.
  • Integration projects keep stalling because architecture is unclear.
  • Workflows are hard to audit for compliance and accountability.
  • Your current stack cannot scale with transaction volume.

Outcomes teams can measure

Reduce manual admin by 30-60% through event-driven automation.
Cut lead response times from hours to minutes.
Improve CRM field completeness to above 95% for key objects.
Recover failed events automatically with retries and DLQ policies.
Increase workflow throughput without increasing headcount.
Establish full auditability for every AI-assisted action.

Service pillars

Architecture

Production integration architecture with event contracts, reliability patterns, and governance controls.

Explore Architecture →

Packaged offers

Clear scope, real deliverables, and pricing aligned to implementation impact.

5-7 days

AI Integration Architecture Audit

R25k-R55k

  • - Current-state integration map
  • - Risk and failure-point analysis
  • - Target AWS reference architecture
  • - Prioritized implementation backlog

2-3 weeks

Integration Sprint

R60k-R130k

  • - Webhook endpoints and data contracts
  • - 2-4 production integrations
  • - Retries, alerting, and observability setup
  • - Handover documentation

4-6 weeks

Agentic Workflow Build

R120k-R260k

  • - Controlled agent decision layer
  • - Human-in-the-loop checkpoints
  • - Cross-system updates and audit logs
  • - Security and governance controls

Month-to-month

Monthly Retainer

R35k-R120k/mo

  • - Workflow reliability management
  • - Continuous optimization and reporting
  • - Incident response and change control
  • - Roadmap support for new integrations

Reference architecture preview

We use event-driven architecture with reliable delivery semantics and operational observability baked in.

[Forms / WhatsApp / Email / HubSpot]
                |
                v
       [API Gateway + Webhooks]
                |
                v
        [Event Bus / Queue Layer]
          |               |
          v               v
 [Agent Orchestrator]   [Workers]
          |               |
          +-------> [Business APIs]
                          |
                          v
         [HubSpot / Helpdesk / Accounting / DB]
                          |
                          v
              [Audit Logs + Metrics + Alerts]
View full architecture patterns →

Use case workflows

Each workflow is designed as Trigger → AI → Action → Logged outcome to preserve control and accountability.

Inbound lead triage

  • Trigger: Web form + WhatsApp message received
  • AI: Classifies intent and urgency
  • Action: Creates/updates HubSpot contact and deal
  • Logged outcome: SLA starts with owner assignment

Support escalation routing

  • Trigger: Helpdesk ticket tagged high-risk
  • AI: Summarizes context and root issue candidates
  • Action: Routes to specialist queue and opens task
  • Logged outcome: Escalation clock and trace ID captured

Invoice follow-up automation

  • Trigger: Invoice overdue in accounting system
  • AI: Drafts context-aware payment reminder
  • Action: Sends email/WhatsApp and updates CRM timeline
  • Logged outcome: Collection attempt history available

Sales handoff quality control

  • Trigger: Deal stage changed to proposal
  • AI: Checks required discovery fields
  • Action: Blocks progression until data is complete
  • Logged outcome: Governance pass/fail checkpoint stored

Renewal risk monitoring

  • Trigger: Contract reaches 90-day renewal window
  • AI: Scores churn risk from activity and support signals
  • Action: Alerts account manager with retention playbook
  • Logged outcome: Risk trend and interventions tracked

Operations exception handling

  • Trigger: Integration event fails repeatedly
  • AI: Categorizes likely failure mode
  • Action: Routes to DLQ workflow and notifies ops
  • Logged outcome: Failure reason and recovery steps archived

Trust and standards

Security-first controls including encryption, RBAC, and secret rotation practices.
POPIA-aware data handling and explicit consent-centered process design.
Full observability with metrics, traces, alerting, and incident-ready runbooks.

Ready to operationalize AI in your actual workflows?

Start with an architecture audit and leave with a prioritized implementation roadmap your team can execute immediately.

Book a ConsultationRequest an Audit