The tag view groups articles by a concrete operational problem or implementation type, without exposing hundreds of raw frontmatter labels.
An AI agent for a batch recall reads the recipients' replies, sets the quantities they give against the quantities shipped and writes questions about missing packs for the coordinator. A person approves the decisions about the recall and the messages to recipients. The agent costs from €3,000 net at Syntalith and, with 300 recipient replies a month at 12 minutes each, pays back in 2.1 months.
At a project handoff, an AI agent combines the accepted offer, the CRM entry and the salesperson's correspondence into a short summary for the project manager: what the client bought, what they must prepare before the start and what to ask the salesperson. The agent costs from €3,000 net at Syntalith and, with 80 project handoffs a month at 60 minutes each, pays back in 1.5 months.
An AI agent for subscription scope changes reads the client's request in the correspondence, sets it beside the current service description and prepares questions about missing points, such as the date of the change and the approval. Once an authorised person approves it, an integration carries the scope into the CRM and the service tools. The agent costs from €3,000 net at Syntalith and, with 200 changes a month, pays back in 2.0 months.
An AI agent for supplier complaints links a new report from the warehouse with closed complaints and the supplier's corrective actions, even when the description uses other words, and prepares a history for the quality team. A quality employee confirms or rejects the link. The agent costs from €3,000 net at Syntalith and, with 120 delivery reports a month at 15 minutes each, pays back in 4.1 months.
An AI agent for supplier terms changes points out the changed clauses, sends questions to the teams whose work will change and gathers their answers into one position for procurement. The legal assessment and the decision stay with people. The agent costs from €3,000 net at Syntalith and, with 60 terms changes a month at 90 minutes each, pays back in 1.5 months.
After a feature release, an AI agent links the approved release description with earlier customer requests in the CRM and support, and proposes a contact list to the account manager with a reason and a draft message. The account manager rejects poor matches and sends the messages personally. The agent costs from €3,000 net at Syntalith and, with 200 follow-ups after releases a month at 12 minutes each, pays back in 3.1 months.
For a campaign across a network of outlets, an AI agent links the campaign plan with the outlet managers' replies, recognises obstacles that need help from head office and writes questions for the support team. The network manager sees which outlet to help before the next reminder. The agent costs from €3,000 net at Syntalith and, with 300 outlet replies a month at 8 minutes each, pays back in 3.1 months.
An AI agent turns the approved description of planned work into a notice about what the customer will see, for the groups the outage affects. When the plan leaves something open, it prepares a question for the owner of the work instead of guessing. The agent costs from €3,000 net at Syntalith and, with 20 planned outages a month at 120 minutes each, pays back in 3.1 months.
After a lost deal, an AI agent gathers the correspondence and notes for one sales opportunity, separates the client's statements from the salesperson's assumptions and prepares a history with questions for the team for the head of sales. The team draws the conclusions. The agent costs from €3,000 net at Syntalith and, with 60 lost deals a month at 40 minutes each, pays back in 3.3 months.
After an incident, an AI agent combines the ticket, the team's conversations and the on-call notes into a timeline with a source beside every entry and a list of open questions for the people involved. The team establishes the cause and the actions at the review. The agent costs from €3,000 net at Syntalith and, with 30 post-incident reviews a month at 240 minutes each, pays back in 1.1 months.
An AI agent for collecting audit evidence links each auditor request with the files and correspondence received, shows what is still missing and writes a specific question to the person who has the material. The audit scope and the assessment of evidence stay with people. The agent costs from €3,000 net at Syntalith and, with 200 audit requests a month at 15 minutes each, pays back in 2.5 months.
An AI agent for business travel changes links an employee's request with their itinerary and bookings, points out items the request does not cover, such as the hotel, and asks about them before passing the case to the coordinator. The coordinator changes the booking. The agent costs from €3,000 net at Syntalith and, with 180 travel changes a month at 15 minutes each, pays back in 2.7 months.
For a monthly report, an AI agent links head office's questions with the branches' replies, checks that each comment concerns the right indicator and month, and writes the coordinator a follow-up when a reply describes a state in place of a cause. The agent costs from €3,000 net at Syntalith and, with 150 questions to branches a month at 15 minutes each, pays back in 3.3 months.
An AI agent links a client's comment on documentation with the revised version of the file and the author's reply, and prepares a specific request for a fresh review for the project manager. A closed upload task does not replace the reviewer's answer. The agent costs from €3,000 net at Syntalith and, with 120 documentation comments a month at 25 minutes each, pays back in 2.3 months.
For damage in a commercial property, an AI agent sets the tenant's report, the inspection note, the photos and the contractor's cost estimate side by side, points out discrepancies such as a different unit, and writes the property manager a question for the contractor. A specialist assesses the cause and the repair. The agent costs from €3,000 net at Syntalith and, with 150 damage cases a month at 25 minutes each, pays back in 2.0 months.
Before a contract renewal, an AI agent combines usage data, meeting notes, tickets and the client's emails into a note for the account manager: what was promised, what was done and what the client will ask about. It points out open issues before they come up at the meeting. The agent costs from €3,000 net at Syntalith and, with 120 contract renewals a month at 45 minutes each, pays back in 1.4 months.
When a customer changes requirements, an AI agent finds the earlier arrangement in the accepted offer, sets it beside the new request and writes a question to the person in operations whose work will change. The salesperson answers the customer only after that person replies. The agent costs from €3,000 net at Syntalith and, with 200 requirement changes a month at 20 minutes each, pays back in 1.9 months.
An AI agent for security questionnaires writes answers from approved procedures, shows the source beside each one and sends questions with no basis in the documents to the person responsible for security. It adds no statements the company has not confirmed. The agent costs from €3,000 net at Syntalith and, with 400 questionnaire questions a month at 12 minutes each, pays back in 1.5 months.
An AI agent for customs document coordination gathers the invoice, the packing list and the correspondence on the right shipment, points out the missing information, prepares a question for the sender and attaches the reply to the same case. The customs specialist receives a complete set with the history of clarifications. The agent costs from €3,000 net at Syntalith and, with 400 shipments a month, pays back in 1.0 month.
An AI agent for delayed B2B deliveries links the order with proofs of delivery and the carrier's emails, shows which part the customer still has not received, writes a question to the carrier and flags a missing reply. A person gives the customer the date. The agent costs from €3,000 net at Syntalith and, with 300 delayed deliveries a month at 15 minutes each, pays back in 1.6 months.
AI agents
The agent moves a case through its steps, and actions with consequences wait for approval from the person you name. Before you sign, we write down the goal and a test set built from your cases.
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