Late notes
Manual notes slow technicians down and often happen after the machine context is gone.
SpeakSphere Field Service
Turn technician speech captured on tablet, smartphone, browser, vehicle-local, or on-premise pilot setups into SAP, IBM Maximo, Odoo, or Zendesk-ready ticket drafts with human review and signed Action Receipts.
Why now
Industrial teams lose time between the asset, the mobile device, and the CMMS. SpeakSphere turns the work moment into a reviewed service record.
Manual notes slow technicians down and often happen after the machine context is gone.
Incomplete tickets create back-office rework and leave knowledge in people’s heads.
SAP, IBM Maximo, Odoo, or Zendesk updates, work confirmations, and audit trails are too hard to connect later.
Workflow
One low-friction flow keeps technicians in control and gives enterprise systems cleaner data.
Technician captures the field note by voice while staying focused on the asset.
AI structures the ticket draft; the technician checks every field before handoff.
Approved drafts are designed for SAP, IBM Maximo, Odoo, or Zendesk sandbox connector validation.
Signed Action Receipts document confirmed work steps and payload hashes.
Technician experience
Voice capture, AI ticket drafting, and review happen in one scan-friendly experience. The preferred pilot path separates deployment choice from device choice: local or on-premise first, then enterprise-managed tablets, smartphones, or browser devices when policy allows it.
For regulated field tests, SpeakSphere can be scoped near the asset, plant network, technician vehicle, or service van before broader rollout decisions are made.
For connected teams, SpeakSphere can then be tested through tablets, smartphones, or browser-based pilot devices under IT policy.
Field-ready voice notes support local, on-premise, technician-vehicle, tablet, smartphone, and browser pilot scenarios with streaming ASR fallback, domain terminology, and multi-language readiness.
Handoff and proof
Two proof moments make the pilot credible: approved ticket handoff and traceable confirmation.
Approved drafts are scoped for SAP PM, SAP S/4HANA Service, SAP Field Service Management, IBM Maximo, Odoo Field Service or Helpdesk, and Zendesk Support validation in a sandbox or test tenant.
Pilot integrations are scoped per customer environment and validated in a sandbox or test tenant first.
Traceability without surveillance.
Enterprise control
Voice workflows require trust. SpeakSphere prioritizes local and on-premise implementation paths, with AI-assisted outputs labeled, reviewed, and aligned with customer policy before any connected rollout.
Local, vehicle-local, or on-premise pilot architecture is prioritized before broader cloud-connected rollout.
Voice consent before processing, retention TTL for audio/transcripts, and policy-dependent privacy configuration.
Human review before every handoff. AI-generated content is clearly labeled and never submitted automatically.
No database migrations are needed for this landing page or pilot concept; settings stay migration-free.
Additional pilot topics include pseudonymized pilot metrics, On-Prem Privacy Connector planning, audit logs, JSON/config-driven pilot settings, mock-first SAP, IBM Maximo, Odoo, or Zendesk testing, existing supraworxv30 foundation reuse, and safe rollback.
Pilot
The 6-week pilot is designed to validate operational impact in a local-first or on-premise-ready setup, not just demonstrate technology.
Working pilot or money back. If the agreed pilot workflow cannot be demonstrated in the scoped sandbox environment, the pilot fee is credited or refunded according to the pilot agreement.
Based on our experience from other pilot implementations, voice-first documentation can reduce documentation effort by around 50%. Estimate the current duration of one task to size the weekly upside.
Tell us who should join the pilot discussion and which field setup you want to test first. The form is submitted through the existing secure contact endpoint.
Economics
8–12 technicians, fixed pilot scope, and a business review at the end.
Technician subscription EUR 29-79 / device / month, AI usage credits, tenant budget controls, and prioritized On-Prem Privacy Connector EUR 6k-12k one-time for regulated environments.
Prices are indicative and subject to scope, security requirements, and integration depth.
Fit
SpeakSphere is shaped for organizations where field documentation has to become faster without weakening governance: regulated plants, distributed service fleets, and enterprise IT teams that prefer local or on-premise control before broader rollout.
“SpeakSphere could change how our technicians document work without forcing a risky cloud-first rollout.”
Head of Service, pilot candidate
“Voice plus review plus traceability is the workflow we were missing for local field operations.”
Maintenance transformation lead, pilot candidate
FAQ
No. SpeakSphere is designed to structure spoken field notes into ticket-ready service information and connect them to downstream workflows.
No. The pilot is human-in-the-loop. AI-generated drafts require technician review and approval.
The pilot landing page and proposed pilot workflow are designed to reuse existing supraworxv30 structures and avoid database migrations.
The pilot focuses on SAP, IBM Maximo, Odoo, or Zendesk sandbox validation. The exact integration depends on the customer sandbox, APIs, and security requirements.
Voice processing follows the configured consent, retention, and privacy policy. Pilot setups should define retention periods for raw audio, transcripts, logs, and receipts.
Yes. SpeakSphere prioritizes local and on-premise pilot implementation for regulated environments, with an On-Prem Privacy Connector concept available when customer policy requires it.
The standard pilot is designed for six weeks with 8–12 technicians.
Reduced documentation time, better ticket quality, high user acceptance, working CMMS or service-desk handoff, and traceable Action Receipts.
Pilot scoping
Use a 6-week pilot to find out whether SpeakSphere can reduce documentation effort, improve ticket quality, and create traceable service records in your environment.