Your AI. Built for Your Business.
TaskSlate builds private AI around your workflows, data and business systems. Connect live information, apply your rules, benchmark performance and customize where it adds measurable value.
See the Base Open Model running live in the TaskSlate AI Lab.
We don’t replace your existing systems. We add a private AI layer to the workflow you already use.
Small models for specific jobs.
TaskSlate starts with one clearly defined business process. Instead of using a huge general-purpose model for everything, we build a focused private AI solution around the task, your terminology, your business rules and the live systems that workflow depends on.
The model is only one part of the solution — TaskSlate can also connect it securely to the data and applications your business uses every day.
Classification & Routing
Understand requests, incidents, tickets or messages and route them into the right business workflow.
Structured Data Generation
Turn natural language into reliable JSON, forms, tags, reports or database-ready information.
Internal Assistants
Create focused assistants around your terminology, processes, products and operational rules.
Document Intelligence
Extract, summarize, categorize and transform business documents into usable structured knowledge.
Technical & Industrial AI
Specialized models for engineering, manufacturing, maintenance, software and operational workflows.
Custom Use Cases
If a task can be clearly defined with examples, we can evaluate whether a compact model can solve it efficiently.
Not generic AI. AI built around your business.
Every TaskSlate implementation is configured around the way your organization actually works. Your terminology, rules, systems, historical decisions, live data and expected outputs shape how the AI behaves.
Understands the event broadly, without your routing rules or categories.
- Category
- Maintenance
- Priority
- High
- Route
- Engineering
- Action
- Inspect motor / drive / load
Illustrative example. Each implementation uses the client's own definitions and rules.
From one business process to a working private AI system.
One defined workflow guides the system connection, AI configuration, measured benchmark, validation and private deployment.
Discover
Map one business workflow, understand how decisions are made and define measurable success criteria.
Connect
Connect securely to one agreed business system, database, API, ERP/CRM source or approved data source.
Configure
Define business rules, prompt mappings, tool access, allowed data, expected outputs and structured response schemas.
Benchmark
Evaluate the connected Base Open Model against real examples to establish the starting performance level.
Customize if Needed
Improve the system through prompt refinement, workflow logic and, where benchmarking shows measurable value, specialized model fine-tuning.
Validate
Evaluate the resulting TaskSlate Custom AI against approved test examples and compare it with the baseline.
Deploy
Package the complete AI solution using Docker and deploy it on supported client-controlled infrastructure.
Handover
Provide the API, evaluation interface, configuration, documentation and knowledge transfer required to operate the solution.
Connect your real business data.
TaskSlate connects AI to the information your workflow actually depends on. Current business data can be accessed through secure database connectors, APIs and compatible integration tools instead of being permanently trained into the model.
Changing information stays in your systems and is retrieved when needed.
Controlled, read-only access. Access can be restricted to approved schemas, tables, views, fields and API operations using dedicated read-only credentials.
Where appropriate, TaskSlate can use MCP-compatible connectors alongside standard REST APIs, database integrations and internal services.
We measure before we customize.
TaskSlate first evaluates the connected AI using real business examples. In many cases, prompt design, business rules and live system integration may already solve the workflow. If specialized model training produces measurable additional value, we fine-tune the model.
From discovery to deployment.
A TaskSlate engagement covers the complete journey required to turn one business workflow into a working private AI implementation.
Business Discovery
- Workflow mappingMap the process and current decisions.
- Use-case definitionSet a clear, bounded implementation scope.
- Success criteriaAgree how the result will be measured.
System Integration
- One agreed business data sourceConnect the system the workflow depends on.
- Read-only database/API accessLimit access to approved data and operations.
- Business system connectionERP, CRM, internal services or compatible connectors where appropriate.
AI Configuration
- Prompt mappingMap business inputs to the right instructions.
- Business rulesConfigure the decisions and constraints that matter.
- Structured output schemasDefine reliable outputs for downstream systems.
- Tool and data accessControl what the AI can retrieve and use.
Baseline Evaluation
- Real historical examplesUse approved examples from the target workflow.
- Base Open Model benchmarkEstablish measurable starting performance.
- Error analysisIdentify failure patterns and improvement priorities.
AI Customization & Model Training Where Required
- Prompt refinementImprove instructions using benchmark evidence.
- Workflow logic & business rulesStrengthen the complete AI system.
- Optional fine-tuningTrain only when it produces measurable value.
- ValidationCompare the final Custom AI with the baseline.
Deployment & Handover
- Private Docker deploymentDeploy on supported client-controlled infrastructure.
- Authenticated API & evaluation dashboardIntegrate applications and inspect results.
- Security controlsConfigure controlled data access and private networking options.
- Documentation & knowledge transferInclude deployment support and 30-day post-launch support.
How your AI becomes yours.
TaskSlate turns one agreed business workflow into a private AI implementation. We start with your approved business context and data, configure and benchmark the AI, customize it where needed, and deploy the finished system in infrastructure you control.
Approved business data remains governed by the access controls agreed for the workflow.
Your Business
Read-only, approved access where applicable
TaskSlate
One measurable workflow at a time
TaskSlate Custom AI
Built around your workflow, rules and expected outputs
Your Infrastructure
Deployed in infrastructure you control
One-Time Private AI Implementation.
From workflow discovery and system integration through AI configuration, benchmarking, private deployment and handover, TaskSlate is delivered as a defined implementation project rather than another per-token or per-user AI subscription.
Core implementation
- Business discovery
- One agreed system/data integration
- Prompt and business-rule configuration
- Baseline evaluation
- AI customization
- Model fine-tuning where justified
- Validation
- Private Docker deployment
- Authenticated inference API
- Evaluation dashboard
- Documentation & handover
- Deployment support
- 30 days of post-launch support included
Optional / Future Expansion
- Additional workflows
- Additional integrations
- Additional databases
- Document / RAG knowledge systems
- Additional custom AI systems
- Infrastructure scaling
- High availability
- Further fine-tuning
- Managed support
One workflow. One private AI system. Measure the result.
You do not need to transform your entire organization on day one. Start with one repetitive, measurable workflow, connect the information it depends on, prove its value and expand from there.
What we need to start
A focused first implementation only needs a small amount of clearly defined business context.
Common questions
Practical answers about how a TaskSlate implementation works.
Your business doesn't need another chatbot.
Show us one repetitive business workflow. We’ll assess how private AI could connect to it, establish a measurable baseline and improve the process.
One workflow • One approved data source • Measurable benchmark • Private deployment