Four systems, one connective layer

Each one works on its own. They are worth more together, because the same grounding, permissions and audit trail run underneath all four.

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01

Customer support agents

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An agent that answers from your documentation, your ticket history and your live systems, escalates when it should, and can prove where every answer came from.

  • Answers from your documentation, changelog and resolved tickets
  • Reads live state from billing, orders or the product before replying
  • Cites the source, so an agent can verify the answer in one click
  • Escalates on uncertainty, sentiment or account value, not just keywords
02

Internal knowledge assistants

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Plain language search across the documents your organisation actually runs on, with citations, permission awareness, and an honest answer when the material does not exist.

  • Ask in plain language instead of guessing filenames
  • Every answer carries the source document and passage
  • Respects who is allowed to see what, per document
  • Says the material does not exist rather than inventing it
03

Workflow automation

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Systems that read and write across the tools you already run, so a resolved conversation updates the record, triggers the next step and leaves an audit trail behind it.

  • Reads live state before deciding anything
  • Writes back to the system of record, not to a side database
  • Asks for human approval where the stakes require it
  • Retries safely without creating duplicates
04

AI dashboards and governance

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Visibility into what your AI systems are doing, what they cost, where they are drifting, and what your customers are telling you that nobody has aggregated yet.

  • Deflection, escalation and resolution quality over time
  • Spend per conversation, per workflow and per model
  • Quality regression caught before customers find it
  • Recurring themes extracted from customer conversations
The engineering underneath

The same disciplines run through all four.

This is the part that decides whether an AI system survives real data, real volume and real edge cases. Each service page sets out how these apply to that specific build.

Retrieval augmented generationGuardrails and policy enforcementEvaluation harnessHuman in the loop escalationInference cost optimisationObservability and tracingPermission aware retrievalKnowledge graphCitation enforced synthesisDocument processing pipelineFreshness and versioningAI data protectionIdempotent writesReliability engineeringApproval gatesAudit trailPlatform and deploymentAccess and secrets managementTracing and instrumentationContinuous evaluationCost attribution and optimisationDrift monitoringAI governanceConversation mining

Where these land in your industry

Legal and law firms

Legal work is document heavy, deadline driven and confidentiality bound. The constraint is rarely legal skill. It is that intake, status updates and document collection all land on people who are already billing.

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Retail and ecommerce

Retail support is dominated by three questions: where is my order, will it fit, and can I send it back. Answer the second one properly and the third one shrinks.

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SaaS

Support, activation and churn are the same problem viewed at different moments. The signals are already in your helpdesk, product analytics and billing system. They are just not connected.

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Healthcare and providers

Clinicians did not train for data entry, and the documentation load is now the single largest predictor of burnout. The work is real, it is required, and almost none of it needs a clinical licence to complete.

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FinTech and financial services

You cannot loosen the controls and you should not want to. What you can do is stop spending most of your compliance capacity on alerts that were never going to be anything, and stop losing good customers to an onboarding flow that treats them like suspects.

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Logistics and freight

When everything moves as planned, nobody needs to be involved. The entire operational cost of a freight business sits in the shipments that do not, and in the phone calls asking about them.

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Real estate and property

Two businesses share one industry. Brokerage loses deals in the first five minutes after an enquiry. Property management loses margin in a maintenance queue nobody can staff. Both are response time problems, and both are fixable.

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Not sure which one you need? Start with the audit

Thirty minutes on your workflows and your stack. We tell you which of these would move a number, which would not, and what it would take.

Book an AI workflow audithello@opendimension.ai