Responsum reads the request, finds the right information in your systems, decides what needs to happen, and verifies the answer before it reaches anyone — inside the helpdesk your team already uses.
The problem worth naming
Most support teams already have a stack that works. What breaks down is what happens inside it — a request that doesn't match a predefined path, or an answer with nowhere to check its own facts.
Handles predefined paths well. Breaks the moment a customer phrases the problem differently, or attaches a screenshot instead of an error code.
Can generate a fluent answer. Has no access to the account data, procedures or systems required to actually resolve the case.
Combines the reasoning with your company's own knowledge, systems and controls — then checks its own answer before anyone sees it.
The difference
Reads the full message together with conversation history and attachments. Identifies intent, product, issue, error codes and what information is missing — including detail contained in screenshots and documents.
Retrieves what's relevant to this specific case from the sources your organisation already trusts: knowledge bases, procedures, product docs, resolved cases, CRM and account data.
Some requests need an answer, others need an action. Responsum determines the right next step under your policies: instructions, a request for missing information, escalation, or a call to another system.
Drafts a complete response for an employee to approve, or, in authorised workflows, delivers it directly and carries out the predefined action in the connected system.
An independent evaluation stage checks factual consistency, completeness and adherence to procedure. A failing draft is rejected and sent back for correction — before a human or a customer ever sees it.
Use case
IT company offering 150+ products to thousands of customers.
The core product: understanding, retrieval, decision, action and verification.
Case resolution
Analyses the problem, inspects attached screenshots, verifies customer information and prepares the correct troubleshooting path.
Identifies the customer, retrieves order information, and provides the current status.
Verifies the customer’s identity, checks account and licence status, then restores access or guides the customer through the fix.
Checks the current plan and contract terms, prepares the change and, in authorised workflows, applies it in the billing system.
Recognises what is missing and asks the customer for exactly the details needed — instead of guessing.
Stops automation and escalates the full case context to a human specialist.
Integration layer
Responsum works as an intelligence and automation layer on top of your existing helpdesk. Connect it through APIs, webhooks and dedicated connectors, while your team continues working in the systems they already know.
API · WEBHOOKS · CONNECTORS
Multimodal
Many customer issues cannot be understood from the ticket description alone. Customers send screenshots, PDF files, error messages, invoices, logs and incomplete descriptions.
Responsum can combine different information sources into a single structured understanding of the case.
This makes Responsum particularly valuable for technical customer service, where critical information is frequently contained in attachments rather than the message itself.
Rollout
No category moves from a human sending every reply to Responsum sending it unsupervised overnight. It earns that step, one observation window at a time.
Responsum analyses historical and incoming cases without contacting customers, and surfaces recurring categories and automation opportunities.
Responsum prepares the analysis and a suggested response inside the employee's existing workflow. A person reviews and sends it.
Clearly defined categories with a validated track record are handled independently. Complex or uncertain cases still go to your team.
For mature workflows, Responsum manages the case end to end, including controlled interactions with internal systems.
Human oversight
Team controls what AI can do. Low-risk repetitive requests can be automated, while sensitive cases can require human approval.
Restraint by design
This runs as its own component, not another prompt in the chain. A response that fails is sent back for correction before a human ever reviews it.
Knowledge layer
Responsum is grounded in the knowledge your employees already use: SOPs, support manuals, product documentation, internal policies, troubleshooting guides, historic tickets and structured company data.
Different knowledge sources can have different authority levels, from official procedures to historical tickets.
Action layer
Responsum can connect to controlled functions such as checking an order, validating a licence, updating CRM data, checking account status or changing a subscription.
Each action can have permissions, conditions and human-approval requirements.
Model flexibility
Responsum is model-agnostic. Use commercial APIs, private models or locally hosted models, depending on your requirements.
For private AI inference, Responsum can work with Agentica Logos.
Deployment options
Deploy Responsum in the environment that fits your security, infrastructure and compliance requirements.
Managed deployment with the fastest implementation path.
Dedicated environment hosted within the European Union.
Deployment inside your existing AWS, Azure, Google Cloud or other cloud environment.
Responsum can operate entirely on infrastructure controlled by your organisation.
Responsum supports Chmura Krajowa and local inference for sensitive workloads.
Industries
Responsum is particularly suited to environments where customer requests are repetitive enough to automate, but complex enough that simple rules and chatbots are not sufficient.
Analyse screenshots, logs, configuration information and technical documentation before preparing the resolution.
Automate recurring product, account, billing and configuration requests.
Handle order questions, returns, product issues and repetitive post-purchase workflows.
Support customers while preserving strict workflow, approval and data-governance requirements.
Process technically complex requests involving logs, screenshots, licences and security products.
Automate large volumes of structured customer requests without replacing existing service-management infrastructure.
Measurement
A metric you can't compute is a slogan. Every number below has an operational definition — and one of them is what each rollout step — observe, assist, autonomous — is gated on.
Verified-resolved cases ÷ all cases Responsum handled in the period. A case only counts when:
Resolved cases delivered without employee approval
Drafts approved without material edits
Resolved cases reopened within the window, any cause
Drafts rejected for factual or procedural violations
Operating cost per verified-resolved case
Getting started
No company-wide transformation required first — we start with your actual support environment.
Review historical requests, procedures, knowledge sources and systems your team already uses.
Find the workflows with the highest potential for automation, together.
Connect Responsum to your helpdesk, knowledge and required business systems.
Test against historical and live scenarios, compared against your team's own work.
Start assisted. Introduce autonomous handling gradually, category by category.
Understand the request. • Find the right knowledge. • Act in your systems. • Verify before it reaches the customer.
