Use and deployment
Use cases
Seven repeatable solution patterns and 24 concrete use cases across an organization's key areas.
Slimaco AI's use cases are built from seven repeatable solution patterns that can be combined into concrete scenarios matched to a business area — from knowledge and onboarding, through service and communication, to legal, sales and operations. Many of them run as automations: an agent performs the task on demand or on a schedule, and a person approves actions with an external effect.
Seven composable patterns
A. Verified Knowledge Assistant
Answers grounded in approved knowledge, citations and a safe "I don't know".
B. Controlled Draft Workshop
Creating, revising and human approval of content.
C. Case-Handling Assistant
Classification, routing, recommendation and controlled handoff.
D. Document Intelligence
Extracting facts, requirements and risks from documents.
E. Signals and Insights
Detecting trends and preparing recommendations.
F. Knowledge Health
Detecting gaps, conflicts and outdated content.
G. AI Governance
Controlling configuration, policies, prompts, access and risk.
Ready-made automation examples for sales, customer service, finance, HR, operations and management are on the Agents and automations page.
Catalog of 24 use cases
The table below shows a typical MVP scope and the main constraint for each use case — a starting point for a conversation about a first, limited scenario, not a ready-made specification.
| Area | Use case | Pattern | Typical MVP | Main constraint |
|---|---|---|---|---|
| Knowledge & onboarding | Knowledge Assistant | A, F | 30–50 approved documents for one department | Source quality and freshness; needs a knowledge owner |
| Knowledge & onboarding | Onboarding Accelerator | A, B, F | An assistant for one role plus a set of onboarding materials | Measurable impact only after a few hiring cycles |
| Knowledge & onboarding | SOP Generator | B, D | A draft of 3–5 procedures from interviews and materials | Mandatory expert edit |
| Knowledge & onboarding | Knowledge Gap Detector | F, A, E | A list of recurring gaps after a period of assistant use | Requires a regular follow-up process |
| Knowledge & onboarding | AI Governance Library | G, F | A library of AI policies and approved practices | Do not present as a full Control Tower |
| Service & communication | Email Draft Assistant | B, C | Drafts for the most common message categories | Drafting, saving to the mailbox and sending are three separate, separately-approved operations |
| Service & communication | Support Intelligence | C, E, B | Classification and routing for a chosen ticket type | Three separate components: routing, trends and drafting |
| Service & communication | Product Knowledge Assistant | A, C | Q&A from the catalog and FAQ | Live pricing and availability need separate tools/integrations |
| Service & communication | Voice of Customer Insights | E, D | Analysis of a sample of emails, complaints and reviews | Needs a sufficient data volume and business validation |
| Legal & advisory | Legal Document Analysis | D, A | An analysis card for a limited document package | High cost of error; mandatory lawyer review |
| Legal & advisory | Junior Lawyer Assistant | A, B | An assistant for one practice area | Does not replace legal opinion |
| Legal & advisory | Contract Draft Generator | B, A | A draft of one contract type from approved templates | Control of clauses and template versions |
| Legal & advisory | Precedent Search | A, D | Search within an internal case base | External research increases scope, cost and risk |
| Sales & CRM | Customer Retention Insight | E, C | A ranked, limited customer group with rationale | Data maturity and cause validation |
| Sales & CRM | Sales Offer Assistant | B, A | A draft of one offer type | Price lists and CRM need separate tools and current data |
| Sales & CRM | CRM Signal Monitor | E, C | One defined sales signal | Not a full predictive CRM system |
| Sales & CRM | Sales Reactivation | E, B | Selecting a group and drafting communication | Communication consent and separate send approval |
| Operations | Document Processing | D, C | Extraction from one document type | Format exceptions and integration with the target system |
| Operations | HR Onboarding Assistant | A, B, C | Q&A on policies and benefits | Separate general data from personal HR matters |
| Operations | Reporting Automation | E, B, D | A draft of one periodic report | Does not replace BI; needs stable sources |
| Operations | Meeting Intelligence | D, E, B | Summary, decisions and tasks from a transcript | Trends and follow-up are a separate extension |
| Operations | Compliance Q&A | A, G, F | Q&A from a controlled regulation base | Freshness, no-answer handling, a content owner and full review |
| Operations | Technical Service Assistant | A, C, B | Q&A from technical documentation | Device and parts history needs integration |
| Operations | Grant Writing Assistant | B, A, D | A draft of one application for a specific program | Checking compliance with program requirements |
| Operations | Accounting Firm Assistant | A, B, G | Q&A from an approved base of interpretations | Constant updating and expert accountability |
Recommended entry order
- First ring — a knowledge assistant and one simple automation, e.g. a weekly report or reply drafts, in a limited scope.
- Natural extensions — onboarding, SOPs, domain assistants and controlled drafting.
- Second ring — email, offers, product Q&A and integrations that need operational data.
- Most advanced — signals, customer retention, multi-source insights and cross-cutting processes.