An agent is only useful when it can read the real record, decide under a policy you set, write the result back and hand over when it is out of depth. We build them with tool access, permissions and an audit trail, so every action taken is attributable.
Interpreting language, classifying intent, choosing between allowed next actions.
Record lookups, permissions, retries, writes, logging, and anything that must be exact.
Voice agents that pick up on the first ring, know who is calling, qualify the job, check live availability and book it while intent is still warm. Outbound handles missed-call recovery and follow-up that a busy team never gets to.
Conversation, qualification, urgency judgement, objection handling within script bounds.
Telephony, calendar writes, CRM updates, SMS confirmation, escalation rules.
Workflows across CRMs, databases, APIs and communication platforms. The interesting part is not the happy path, it is what happens when a payload is malformed, an API is down or a record is ambiguous. Failures queue for a human instead of disappearing.
Classification, extraction and scoring where rules would be brittle.
Triggers, queues, idempotency, retries, error handling, monitoring, reporting.
Field applications, dashboards and internal tools built around the actual workflow rather than a generic CRM screen. Mobile-first where the work happens on site, tolerant of bad signal, and fast enough to use with one hand.
Reading serials and barcodes from an imperfect photo.
Offline tolerance, role-based access, document generation, synchronisation.
Document processing, enrichment, routing and reporting. Extraction is only trustworthy with a confidence threshold and an exception queue, so the system never quietly writes a wrong number into a record.
OCR, field extraction, enrichment, categorisation.
Validation, thresholds, exception queues, storage, analytics.
A system is only trusted if its limits are explicit. These stay with your people, by design.