Services / Automation
We classify and route every ticket, draft replies from your approved knowledge for an agent to send, and put a named owner on anything that needs a person now. The queue stays honest; the customer never gets a dead end.
Baselines first. Drafts reviewed. Uncertainty routed, not hidden.
The business case
When every ticket lands in one pile and agents spend their time looking things up, response times drift and the reasons stay invisible. We make triage instant and context automatic, then build the reporting on records that are already there.
High repeat volume, tickets waiting before the right person sees them, agents re-reading long threads, or escalations that depend on who happens to remember. Measured baselines exist or can be produced.
If your ticket volume is tiny, fix the process by hand first. If the knowledge base is empty, start there. We will tell you when automation is the wrong next step.
Where this applies
These are example situations, not pre-packaged promises or claims about past results.
Answer common, low-risk questions from your own approved knowledge, and pass anything uncertain to a person with the full thread already summarised.
Learn: what share of your tickets are repeats of something you have answered before?
Classify each ticket by topic, product, language and urgency, then route it to the team or person who can actually resolve it.
Learn: how long does a ticket wait before the right person sees it?
Pull the customer's account, order, subscription and previous tickets into one view, so the agent starts with context instead of hunting for it.
Learn: how much of your handling time goes to looking things up?
Draft a reply from approved sources for the agent to edit or send, and acknowledge the customer with a real next step rather than a holding line.
Learn: what are your first-response and resolution times today, by intent?
Detect the tickets that need a human now, money issues, outages and distressed customers, and route them with a named owner and a deadline.
Learn: what happens today when a ticket needs to jump the queue?
Turn resolved tickets, policies and macros into a reviewed knowledge base, and report the questions it still cannot answer.
Learn: what breaks when your most experienced agent is off?
How the work flows
Messages from every channel enter one queue and are classified against your approved knowledge. From there a ticket takes one of three paths: answered instantly from documented steps, passed to a specialist, or escalated to a named person with a deadline. A resolved ticket closes, and its outcome feeds back into the knowledge base.
Baseline measures before build, a written authority matrix, a review point before anything reaches a customer, and a runbook with named owners.
Replies sent without approval, invented policy, silent discards, and containment figures calculated in a way nobody can reproduce.
Groundwork
Before anything answers a customer, we need to know what actually arrives, how it is handled today, and what support is allowed to commit. That decides what can be automated honestly.
Every intent that arrives, how often, how long it takes and how often it reopens, built from real ticket history rather than a guessed category list.
Email, chat, WhatsApp, voice and portal tickets traced back to the accounts, orders and records an agent needs to resolve them.
What support may refund, replace, waive or promise without asking, and the limits that must always reach a supervisor.
First-response and resolution times by intent, satisfaction, reopen and escalation rates, measured now so any change can be checked against them.
Triage & routing
Triage is where most delay hides. We make it fast and consistent, with rules your team can read and change.
Messages from every channel written into one queue with the customer identity, source and full history attached.
Topic, product, language and urgency assigned from the content itself, with anything ambiguous reaching a person rather than being forced into a category.
Assignment to the team or person who can resolve it, balanced across who is already carrying tickets, with escalation when an owner does not act.
Money at risk, outages, safety concerns and at-risk customers jump the queue on written rules, and the reason is recorded on the ticket.
Answering from your own knowledge
The system answers from your documents, not from what a model assumes about your business, and every draft carries the source it came from.
Answers built from your policies, knowledge base, macros and product documentation, with the source shown next to the draft so an agent can check it in seconds.
The reply is prepared, not sent. The agent edits or accepts it, and nothing reaches a customer without a person deciding.
Order status, subscription changes and documented steps offered directly to the customer, with the option to reach a person always visible.
When the sources do not cover a question, the system says so and routes the ticket. Silence is treated as a signal about your knowledge base, not a failure to hide.
Agents & escalations
The measure is whether an agent resolves faster and better, not how many tickets never reach one.
Account, entitlements, recent orders, open issues and prior conversations assembled on the ticket, from the systems you already run.
A ticket that needs a senior decision is passed with a summary, a named owner and a time limit, and the handoff is confirmed rather than assumed.
Long threads condensed to what has been said, what was promised and what is outstanding, so nobody restarts the conversation.
Sampled reviews of automated and agent replies against your tone and policy rules, with the failures fed back into the answer sources.
Learning & accountability
Support sits on the best evidence in the business. We make it reportable, so the same complaint never has to arrive twice.
Resolved tickets turned into draft articles for a subject-matter owner to approve, so the knowledge base keeps pace with what customers actually ask.
A standing report of the questions that could not be answered from approved sources, which is also the list of what to write next.
Outages, delayed shipments and billing errors detected from your own systems and raised with the affected customers before they have to ask.
Containment, deflection, resolution time and satisfaction calculated the same way in every report, joined back to the source tickets.
Tools & platforms
These are the platforms we typically assess, not a list you must adopt. Where a platform's API blocks a design, we say so before anything is promised.
We work inside the helpdesk you run where its API allows, and say plainly where a platform blocks a design.
One queue per channel, with the customer identity and conversation history carried across every switch.
Answers built only from sources you have approved, with the source attached to every draft.
Summarising, drafting and classification with review before anything reaches a customer. Chosen on data-handling rules, not demos.
Classification, routing, approvals, SLAs and retries matched to your volume, hosting needs and what your team already runs.
Tickets, orders, usage and satisfaction joined into one reported view with a single definition of each metric.
Held to your policies, logged for review, and measured on sampled replies rather than on a launch-day demo.
Delivery approach
Automated answering is never launched straight at customers. Drafts run in shadow against real tickets, every wrong or missing reply is reviewed, and only then does a topic go live, one channel and intent at a time.
Agree what may be answered automatically, what must always reach a person, the escalation rules, the tone you expect and the systems we may access.
Output: Scope note, authority matrix and baseline measures
Mine ticket history for real intents and repeat volumes, review policies, macros and knowledge coverage, and map the channels and systems agents depend on.
Output: Ticket taxonomy, repeat-volume analysis and opportunity list
Decide how tickets are classified and routed, which sources may be used to answer, where an agent reviews, and how escalations are owned.
Output: Design note with routing rules, answer sources and review points
Build the flows, then run them in shadow: drafts shown to agents but never sent, and every wrong or missing answer reviewed before anything goes live.
Output: Working flows, shadow-run results and corrected answer sources
Phase the rollout by channel and intent, train agents and supervisors on the review points, and hand over the runbook, dashboards and ownership.
Output: Live flows, trained team, runbook and reporting pack
A support lead who can settle routing and authority rules, access to the helpdesk and the systems agents depend on, and agents willing to review drafts during the shadow run.
Scope, access and the rules for what must always reach a human are agreed in writing before build. Every routing rule and answer source is written down so you can change it and see what moves.
What you receive
Everything is delivered so your team can change it without us, and so the numbers hold up in a leadership review.
Tickets from every channel in one place, sorted by intent, language and urgency, assigned to someone who can resolve them, with response times tracked.
Replies prepared from your approved sources with the source attached, reviewed by an agent before anything is sent.
A written path for the tickets that need a human now, with a named owner, a deadline and the full context handed over.
Resolved tickets turned into reviewed articles, plus a standing report of the questions you still cannot answer.
How each flow works, how to pull a topic back to manual, how to recover a failed run and who owns what.
We are not a contact-centre consultancy and we do not take commission. The systems are built to your process; your support leaders stay accountable for the queue.
Related services
These are the services support work usually connects to.
Questions before starting
By default it drafts for an agent to review and send. Fully automated replies only happen on a narrow list of topics you approve explicitly, and each one carries an instant handoff to a person.
Replies are grounded in your approved documents with the source shown, low-confidence questions go to a person, and sampled reviews catch drift. Any topic can be pulled back to manual without a rebuild.
Zendesk, Intercom, Freshdesk, HubSpot Service Hub, Salesforce Service Cloud and Jira Service Management where the API allows, plus ticket exports where it does not. If a platform blocks the design, we say so before you commit.
Where model support is good enough, yes, including classification and drafting. Where your customers require it, a native speaker reviews before anything is sent.
Access is minimised and approved, personal data is handled under your privacy commitments, and nothing is sent to a third-party AI service without your approval. Self-hosted models are an option where that is a requirement.
It removes repeat handling and lookup time. What you do with that capacity, absorb more volume, improve response times or reinvest in complex cases, is your decision and we will not decide it for you.
Classification and routing often run in production within weeks. Automated answering comes after a shadow run on real tickets, because it needs evidence before customers see it.
That is part of the job. We will not launch automated answering on unreviewed content; we start with the topics that are already documented and report the gaps as we go.
Start with one flow
Share your channels, your helpdesk and your ticket history. We will propose a scope, the rules to agree and a first flow to put into production.