AI SYSTEMS · AGENTS · AUTOMATION
Turn scattered knowledge into work that moves.
Mirror Engine builds AI systems that help professional teams find knowledge, prepare work and move decisions forward.
Choose a workflow. See the system in action. Start with a focused implementation and scale when the value is proven.
ME / LIVE WORKFLOW SYSTEM ONLINE
01 / KNOWLEDGE12 sourcesconnected + permissioned
MIRRORENGINECONTEXT VERIFIED
03 / ACTIONDraft readyhuman approval queued
KNOWLEDGESYSTEMACTION
Scattered documents, overloaded experts and disconnected tools create invisible work.
Mirror Engine turns that friction into one visible, controlled system.
Choose the workflow that matters.
Four practical ways to apply Mirror Engine inside your business. One implementation path from audit to production.
QUESTION RECEIVEDHave we handled a similar project before?12 documents found
3 precedents cited
Make your company’s knowledge usable.
Internal knowledge
Turn documents, procedures, projects and expert knowledge into a private, source-backed resource your team can rely on.
ASK → RETRIEVE → CITE
USE CASE INCLUDES Private knowledge retrieval · Source-backed answers · Permission-aware access · Semantic search · Case and project summaries
BEST FOR Consultancies · Law firms · Engineering firms · Professional services
See knowledge retrieval in action ↗
Implemented through the shared Audit → Pilot → Production path.
02 / COMMERCIAL INTELLIGENCE
DEMO READY
NEW OPPORTUNITYEuropean expansion · 42 requirements8 sources connected
1 proposal structure
Turn experience into the next proposal.
Proposal intelligence
Help commercial teams research opportunities, reuse relevant past work and prepare a strong first response without starting from a blank page.
RESEARCH → DRAFT → REVIEW
USE CASE INCLUDES Brief and RFP extraction · Account research · Case-study retrieval · Proposal structure · Draft preparation · Human review
BEST FOR Consultancies · B2B services · Recruitment firms · Enterprise sales teams
See the proposal agent in action ↗
Implemented through the shared Audit → Pilot → Production path.
03 / DOCUMENT INTELLIGENCE
DEMO READY
18 FILES RECEIVEDClassification and validation complete12 approved
4 for review · 2 incomplete
Turn paperwork into controlled work.
Document intelligence
Classify, read, compare and extract information from business documents. Surface exceptions and route every case to the right person.
READ → EXTRACT → FLAG
USE CASE INCLUDES Document classification · Data extraction · Comparison rules · Exception detection · Validation queue · Export to existing systems
BEST FOR Legal · Insurance · Finance · Procurement · Technical operations
See document intelligence in action ↗
Implemented through the shared Audit → Pilot → Production path.
04 / OPERATIONS
DEMO READY
NEW REQUEST RECEIVEDCategory: Client onboarding4/4 checks complete
1 approval queued
Move every request to the right next step.
Operations automation
Use controlled AI agents to receive requests, retrieve information, apply rules, prepare responses and update the systems your team already uses.
DECIDE → APPROVE → ACT
USE CASE INCLUDES Request classification · Workflow routing · System updates · Approval paths · Notifications · Audit trail · Human escalation
BEST FOR Client operations · Internal support · HR · Finance operations · Sales operations
See the operations agent in action ↗
Implemented through the shared Audit → Pilot → Production path.
Choose one starting point. Prove the value. Expand from there.
SEE THE SYSTEM BEFORE YOU BUY IT
02 / 06Every application starts with a working demonstration.
See the process, interface and approval points. We then adapt the right application to your data, tools and business rules.
Choose one workflow. Bring one real example. Leave with a clearer next step.
CLEAR INVESTMENT PATH
03 / 06Start with the problem. Scale with the proof.
Choose the application that matters most. Start with an audit, prove the workflow in a pilot and move into production when the value is clear.
01 · DISCOVER / 1–2 WEEKSAI Opportunity Audit
Know where AI can create value.
€2,000–€5,000Request an audit ↗
02 · PROVE / 3–8 WEEKSPilot System
Put one workflow into practice.
€8,000–€20,000Design a pilot ↗
03 · DEPLOY / SCOPE-BASEDProduction AI System
Make the system part of the operation.
€25,000–€75,000+Discuss deployment ↗
04 · OPERATE / ONGOINGOperate & Improve
Keep quality, adoption and performance moving.
€2,000–€10,000 / monthKeep improving ↗
Indicative pricing. Final scope depends on the selected workflow, data sources, volume, permissions, integrations, accuracy requirements and operational complexity. Choose the problem above. Choose the implementation stage here.
MEASURE THE WORK, NOT THE HYPE
The system is the starting point. Capacity is the outcome.
Every implementation begins with a baseline and a measurable operational question: can your team find answers, prepare proposals, review documents or resolve requests with fewer manual steps?
KNOWLEDGEFind answers fasterSearch time · questions resolved · source quality
PROPOSALSHandle more opportunitiesPreparation time · opportunities managed · response rate
DOCUMENTSReview more casesTime per case · throughput · exceptions detected
OPERATIONSRemove manual stepsCycle time · manual actions · escalations
Focused enough to prove. Flexible enough to expand.
One clear operating architecture without forcing your business into a generic platform.
01Clear starting point
Choose an application by the problem you want to solve.
02Visible process
See each step and approval point before implementation.
03Human oversight
Keep review and approval where they create value.
04Shared foundation
Expand proven applications on the same operating layer.
FREQUENTLY ASKED
Clear questions.
Useful answers.
Are Knowledge, Proposals, Documents and Operations separate products?+
They are four applications of Mirror Engine. Each focuses on a different process, but all share the same implementation path and are configured around your data, tools, permissions and business rules.
Why do the four applications not have separate prices?+
Because investment is determined mainly by the implementation stage and process complexity—not the use-case label. Any application can begin as an audit, become a pilot, move into production and require ongoing improvement.
How do we choose the right starting point?+
Start with the work that consumes the most specialist time or creates the largest operational delay. The demo helps identify whether Knowledge, Proposals, Documents or Operations is the best fit.
Can we combine more than one application?+
Yes. Most companies should begin with one process. Once proven, other applications can share the same knowledge layer, integrations, permissions and operating controls.
Can Mirror Engine connect to our tools?+
Yes. It can connect with document repositories, CRM, ERP, email, databases and internal applications.