From generic capability to specific organizational outcomes.
- 01
Generic AI capability
language, reasoning, pattern recognition, generation.
- 02
Your organization
knowledge, context, rules, tools, roles, priorities.
- 03
A specific workflow
designed around a real task, decision or operating need.
- 04
A defined outcome
reliable execution in the context that actually matters.
Your people can use AI. Your organization can’t, yet.
Generic AI can write, read and reason. But it doesn’t know your projects, your price lists, who approves what, or where a piece of work stands today. So your people carry all of that in their heads and type it in, every time.
Context typed in every time
Each person explains the job from scratch. Results vary with who’s asking.
Work that waits for two people
The schedule, the bid, the year-end review. Only a senior person can do it, so everything queues behind them.
Know-how that leaves with people
How your company prices a job or checks a file isn’t written down. When someone leaves, it goes too.
AI use nobody can see
Different tools on different accounts. Nobody knows what it costs, how good it is, or what company data went where.
Generic AI talks to your organization. Specific AI fits into it.
Generic AI knows the world. Specific AI needs to know your organization.
A general-purpose model can recognize patterns and reason broadly. Useful organizational work depends on what’s particular to your environment.
Your knowledge
What your organization knows that a generic model doesn’t.
Your context
What’s happening in this customer, project, transaction or situation.
Your operating logic
Rules, standards, escalation paths and decision boundaries.
Your goals
What outcome matters, what should come first, and what should be optimized.
Particular organizational intelligence, made executable.
Specific AI combines what AI can work out from your data, records and patterns with what your people intentionally add: purpose, judgment, standards, exceptions, priorities and the outcomes that matter.
- Patterns in data and transactions
- Historical behavior and precedents
- Context from systems and documents
- Likely next actions and risk signals
- The organization’s intent and priorities
- Judgment principles and trade-offs
- Escalation logic and accountability
- When history should not be followed
Specific AI is AI fitted to the way your organization works.
It isn’t a smarter model. It’s the same models, fitted to your work.
| Generic AI | Specific AI | |
|---|---|---|
| What it is | Broad intelligence you talk to | That intelligence fitted to your organization |
| Context | Supplied by the person, every time | Already there: your documents, rules and records |
| Where it sits | Outside the work, in a chat box | Inside a named piece of work, connected to your systems |
| Quality | Depends on who’s asking | Set by the workflow and the role |
| What it produces | An answer | The work moved to its next step |
| When someone leaves | Their know-how leaves too | The method stays with the role |
Not another chatbot. Not just another automation.
| Conventional automation | AI-enhanced automation | Specific AI | |
|---|---|---|---|
| How it works | Trigger, rules, action | Trigger, one AI step, action | Situation, your context, your logic, then a decision or action |
| Best for | Inputs and rules that never change | Adding a summary, extraction or draft to a fixed process | Work where context, standards and judgment matter |
| What drives it | Logic written in advance | Logic written in advance, plus one AI task | Your data, rules, roles and the current state of the work |
These work well together. Specific AI does the part the other two can’t do on their own: fitting AI, your data and your organization’s way of working around one job, so it can be done reliably.
Your best people’s know-how, usable in everyday work.
The goal isn’t more AI. It’s making the valuable know-how in your organization available and applicable, consistently, wherever the work happens.
Right role
Relevant know-how reaches the person or team that needs it.
Right time
Context and guidance appear at the point of decision or action.
Repeatable
Good practice and judgment are applied the same way across similar situations.
Reliable
Fewer avoidable omissions, inconsistencies and variations.
Shared
Teams work from common logic, not isolated individual knowledge.
Durable
Important know-how doesn’t dilute, drift or disappear over time.
Specific AI becomes real when it’s attached to a specific workflow.
Decision
Combine context, precedents, rules and human judgment to support repeatable decisions.
Review
Prepare, validate, compare and flag issues using your company’s standards.
Escalation
Recognize when a situation should move to another role, authority or way of acting.
Knowledge
Bring the right organizational knowledge to the right role at the right moment.
Compliance
Apply evidence, rules, documentation and approval logic consistently.
Operating
Coordinate data, tools, roles and actions toward a defined real-world outcome.
One idea, many organizational contexts. Live in these today.
14 workflows at Viya Constructions
Across project management, billing, contracts, quality and site operations, connected to their project management system.
In pilot on tax returns, reconciliations and financial statement reviews
For accounting firms and finance teams. Every finding has a source, an owner, evidence and a review.
Export refund paperwork, prepared and reconciled
Refund statements, supporting schedules and declarations prepared from export invoices, shipping documents and purchase records, with mismatches flagged for review.
Any work that repeats and matters
Compliance, sales and go-to-market, customer operations, knowledge work and decision workflows. If work comes back often, follows your standards, has an owner and a visible result, we can build it.
Run a workflow yourself.
All three sites are open. You’ll see the review step, the confirmed values and the documents that come out.
constructions.bleno.io
Turn an agreement into a provisional schedule, a payment sheet into invoices, or a scope of work into a quality checklist workbook.
finance.bleno.io
Run a reconciliation, a financial statement review or a tax return workflow.
exports.bleno.io
Prepare a refund statement or reconcile purchases against tax records.
Find the workflow. Make the intelligence specific. Measure the outcome.
The way in isn’t a broad AI transformation. It’s one real workflow where generic AI isn’t enough.
- 01IdentifyFind a meaningful workflow.
- 02UnderstandMap the knowledge, context, rules and outcome.
- 03ConfigureCombine models, data, tools and your specific logic, on Bleno.
- 04DeployPut it into real use, with your people confirming what matters.
- 05ImproveLearn from reality, and deepen it over time.
Start with one workflow. Pay only if it works.
Start with one workflow. We build it around your real work, you try it, and you only pay if it works.
- It repeats: often enough that doing it the same way every time is worth something.
- You know what good looks like: the result can be checked.
- The inputs exist: the documents or data it needs are available.
- Someone owns it: a person who can say whether the result is right, and will use it.
We build that first workflow from your own material, with the person who does the job best. You check it and say yes. Nobody on your side starts from a blank page.
After the first workflow, an engagement has up to three parts, each agreed in writing: design and implementation (one-time), a Bleno subscription (recurring), and usage, support and expansion (as agreed).
Specific AI is the idea. Bleno makes it operational.
Bleno is the product layer for Specific AI: one platform used to build, deploy and operate Specific AI workflows across finance, compliance, construction, sales and more. Each implementation brings together models, data, tools, rules and your organization’s own operating context.
Specific AI is a YE Stack category. Bleno is a YE Stack product. TGH Tech is an implementation partner: we design, build and support the workflows inside your organization.
Bring domain know-how. Build Specific AI with us.
Specific AI spreads faster when the people who know the work best help shape it.
Design partners
Put a real workflow in early, and shape Specific AI for your industry.
Domain experts, consultants and technology partners
Bring workflows, clients or the systems they run on. The unit of collaboration is a real organizational problem.
The Specific AI community
Definitions, use cases, build logs, research and critique, in the open.