When you sign a contract with strict SLAs
Reduce mean time to repair (MTTR) by up to 40% with AI first-line support. Resolve instantly suggests precise solutions based on the company's knowledge base and the history of tickets from ticket systems.
Resolve lifts Service Desk efficiency metrics.
Complex tickets overwhelm senior engineers, who waste time digging through old tickets in Jira and scattered communication history. When a strategic client loses patience, Resolve acts as a shield protecting your contracts. When an agent opens a ticket, the system instantly provides full fault context and generates a precise reply ready for one-click approval. It auto-translates tickets across languages and audits answer quality before sending to the client. You stay in control while AI handles the routine work.
New ticket
Client reports an incident
Intelligent knowledge management (Powered by co.brick assist)
Confluence · Google Drive · Jira · Outline · Office · Teams · ticket history
Drafts a precise reply
Approve or reject in one click
Ticket resolved
SLA met, client satisfied
Diagnose the real cost of hidden downtime and lost knowledge.
Pick the problem you're solving — your back-of-the-envelope number in 30 seconds.
Service Desk performance calculator
How we calculated this
- Ticket volume: 1,800 tickets/month → 21,600 tickets/year, baseline handling time 45 min (≈ 16,200 handling hours/year).
- Only 60% of volume is treated as influenceable — repeatable tickets with knowledge-base coverage (≈ 12,960 tickets/year). Major incidents and undocumented tickets are excluded.
- Handling-time reduction: 25% (range 20–30%; 30% is the contractual optimisation target, used as the optimistic bound).
- We model AHT (average handling time), not MTTR — MTTR includes queue time the system does not touch.
- Implied service desk size from your inputs: 15 engineers (1,600 productive hours each, 70% ticket-facing). Recovered hours are capped at 30% of that capacity.
- Fully loaded cost: €35/hour — set by you.
- Formula: eligible tickets × handling time × reduction × hourly cost.
Indicative estimate based on industry benchmarks and the assumptions above, not a commitment. Actual results depend on your own data.
Service communication security and data residency
Service tickets contain confidential customer data, sensitive logs, and descriptions of internal IT architecture. Resolve ensures full protection of this information through strict adherence to the EU-Residency principle – your operational data is stored exclusively in certified data centers physically located in the European Union. Resolve does not learn from your confidential tickets for the benefit of public models. Built-in anonymization filters automatically remove sensitive data before processing queries. We support access control standards, SSO, and event logs, making it easier to maintain full compliance with GDPR and ISO 27001 requirements in your organization.
Deployment variants
Private Cloud
Full sovereignty and data isolation in your own server infrastructure.
Hybrid Model
Local processing in your own infrastructure combined with the flexibility of a secure cloud.
SaaS
Fast start on dedicated, certified servers located in Europe.
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Confluence
Google Drive
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Jira
Outline
PDF
Enterprise-class experience combined with Polish scientific expertise.
The architecture of the co.brick AI platform is led by Rafał Bałaga (CEO & Founder) — co-creator of the international success of the Hybris platform (acquired by SAP) and former Managing Director of SAP Labs Poland. We know how to build flawless systems resistant to technical debt and the test of time. We don't test unproven theories on your organization. Our advanced predictive algorithms and anomaly detection systems are developed together with the Polish Academy of Sciences (PAN), basing our analyses on hard engineering and the laws of physics. The stability and scale of the venture are also evidenced by the fact that our research and platform have been co-funded by the National Centre for Research and Development (NCBR).
Book a consultationEducation and Reducing Friction
Implementing a CoCo AI assistant is not just about technology; it is also a change in the team's way of working. Successful adoption requires education, transparent communication, and showing employees concrete benefits. That's why we help leaders drive organizational change without resistance.
Start with a small pilot team, quickly demonstrate the first wins, then scale to the whole organization.
How to increase company productivity with a CoCo AI assistant and avoid team resistance?
A practical guide to driving change in an organization: from the first conversation with the team, through quick wins, to lasting habits built around a CoCo AI assistant.
Start making decisions based on facts
You don't buy a pig in a poke. We run the entire pilot deployment on your real operational data, showing measurable ROI before you sign a long-term contract.