Leave one workflow and your number. The AI identifies itself, asks a few focused questions and prepares a structured brief.
Dring is your AI solution partner. Call evidence and workflow knowledge become a working teammate, difficult conversations become tests, and live outcomes guide every controlled release against the KPI your team actually owns.
We turn the way your operation works into something an agent can execute, measure and improve. Your team sees the scope, quality gates and release evidence; the internal recipes stay protected.
We read the work as it really happens, across recordings, transcripts, workflows and approved sources, including the words and moments that change the outcome.
Voice, conversation logic, knowledge, tools and outcome handling are shaped around one job to be done.
Automated checks and human review exercise the hard cases before the agent meets production traffic.
Dashboards and structured feedback turn real outcomes into the next tested release, with your approval points intact.
What your team sees. A clear scope, a test report, an acceptance dashboard, release notes and the KPI trend. Dring turns the evidence into a focused recommendation; you approve the scope and release, then we make and verify the change. The internal recipes that make the Factory work remain ours.
Agent Factory turns your workflows, approved knowledge and call evidence into production-ready agents. They are assembled, simulated, calibrated and improved against the KPI your team chooses.
Your operating knowledge becomes a clear brief for the first agent release.
Live conversations produce the evidence for the next controlled improvement.
The Factory is the difference between configuring an agent once and operating a growing fleet of digital call-center teammates.
We start with call evidence, workflow rules, approved knowledge, system access, languages and the KPI that defines success.
Conversation logic, voice, memory, tools and outcome handling are shaped around one clear operational job.
Simulations exercise interruptions, silence, objections, accents, missing data, policy boundaries and requests outside scope.
Automated checks, human beta review and regression coverage show whether the agent is ready for controlled traffic.
Your team sees the dashboard, tests the agent on the platform and gives structured feedback before production rollout.
Scored calls and team feedback become focused changes, new test cases and the next measurable release.
The Factory does not begin with a generic prompt. It begins with how your team already works and where the customer gets stuck.
Call reasons, branches, examples, business hours, retry rules and the cases that should never be automated.
Approved policies, product information, service language, transcripts and the source systems the agent is allowed to read.
CRM, calendar, ticketing, payments and telephony actions, each with explicit permissions and a visible result.
Resolution, qualified leads, booking completion, sentiment, handover accuracy or the operational measure that matters.
Every live conversation creates a signal. The Factory groups those signals into patterns: where callers repeat themselves, where transfers happen too late, where policy answers drift or where a campaign loses momentum.
The team reviews the pattern, chooses one change, tests it against the previous release and promotes it in stages. This keeps the agent moving forward without turning production into an uncontrolled experiment.
Explore call analyticsModel providers are components. Your advantage is the system that turns them into reliable, improving operations.
Generation is tied to tools, telephony, policies, test scenarios and human escalation from the start.
Every new agent and every major release moves through the same simulation, scoring and staged rollout discipline.
Live feedback becomes a prioritised change, not a forgotten transcript. Operators can see what changed and why.
A sales agent optimises qualified conversations. A support agent optimises resolution. The Factory does not confuse activity with outcome.
People keep the sensitive, ambiguous and high-value moments. The agent passes context so the customer does not start again.
Speech, language and voice components can be selected per agent and use case while the operating loop stays consistent.
Start with one workflow and expand when the live evidence says it is ready.
Order status, returns, warranty, account questions and after-hours coverage.
Support agentsDealer campaigns, dormant lead reactivation, discovery and meeting booking.
Sales agentsMultilingual intake, appointment workflows and careful coordinator handover.
Healthcare workflowsDriver lines, shipment status, check calls and exception-first dispatch support.
Logistics workflowsNo. The prompt or conversation logic is only one output. Agent Factory connects generation to simulation, scoring, telephony, tools, staged release and live KPI feedback.
No silent production changes. Feedback identifies a candidate improvement; the change is tested against the current release, reviewed and promoted through controlled rollout.
We need the workflow, call examples or recordings, approved knowledge, system access, escalation rules, languages and the outcome you want to improve. We help turn those inputs into the first release plan.
Yes. Human handover is designed into the workflow. The receiving teammate gets the caller's goal, relevant context and the reason for escalation.
Start with one queue and one KPI. Add another workflow when the first has a stable quality baseline, a clear owner and enough evidence to expand safely.
You see the agreed scope, test results, quality signals, acceptance view, release notes and KPI movement. The internal Factory recipes remain protected, while the evidence behind each release stays clear.
Tell us the queue, the KPI and the workflow you want to improve. We will return with a focused production plan.