AI-POWERED SYSTEMS

AI-powered systems & intelligent automation.

Logic Current integrates proven AI models with business data, software, and workflows to create useful systems—not disconnected AI demonstrations. Every build starts from an operational problem and ends inside the workflow that problem lives in.

Plan an AI integration

Models: Established, commercially available
Grounding: Your approved company knowledge
Oversight: Human review where it matters

WHAT IT ACTUALLY DOES

Eight jobs, each one a task somebody is doing by hand today.

None of these is a chatbot bolted to the side of a business. Each is a specific piece of work inside an existing workflow, with a person still accountable for the outcome.

Intake

Read what arrives — calls, forms, emails, documents — and turn it into a structured record somebody can act on.

Classification

Sort and route incoming work by what it actually is, instead of by who happened to open it first.

Document processing

Pull the fields that matter out of invoices, contracts, forms and reports, and check them for what is missing.

Knowledge retrieval

Answer questions from your own approved material, with the source attached so the answer can be checked.

Decision support

Assemble the file a person needs to decide, and say plainly what is uncertain.

Routing

Send work to the right queue, role, or person, with the escalation rule written down.

Drafting

Prepare the first version of a reply, summary, or document for somebody to approve.

Operational assistance

Watch for the thing nobody has time to watch for, and raise it before it becomes the problem.

THE PATH THROUGH THE SYSTEM

From a business input to a business action.

An AI-powered workflow is a sequence, not a feature. Each stage has an owner, a boundary, and a defined behaviour when it is uncertain.

01Business inputsCalls, email, forms, documents, system events
02Company knowledgeApproved documents, policies, records
03AI modelClassification, extraction, retrieval, drafting
04Tools and workflowsApproved actions in connected systems
05Human reviewConfirm, correct, or escalate
06Business actionWritten to the system of record

SYSTEM ARCHITECTURE

Five layers, each with a job.

The model is one layer of five. Most of what determines whether an AI system is useful—and safe to run—sits in the other four.

01
Interface layer
Where a person meets the system.
- Web applications
- Mobile applications
- Internal portals
- Voice and chat interfaces
02
Intelligence layer
Established models, instructed and constrained for the task.
- Established AI models
- System instructions
- Structured outputs
- Retrieval
- Classification
- Summarization
03
Knowledge layer
The material the system is allowed to reason over.
- Approved company documents
- Policies and procedures
- Databases
- Product information
- Client records where authorized
04
Tool layer
The systems the workflow is permitted to act on.
- Email
- CRM
- Calendar
- Document management
- Internal APIs
- Business software
05
Control layer
What keeps the system accountable.
- Permissions
- Validation
- Logging
- Guardrails
- Human approval
- Escalation

WHAT WE CAN BUILD

Categories we design and integrate.

These are the shapes of AI system Logic Current builds today. Each one is scoped to a defined use case, a permission boundary, and a review step.

Website and client assistants

Answer questions from approved material, capture structured details, and hand off to a person when the conversation moves outside what the assistant should handle.

AI receptionists and lead qualification

Take inbound calls and enquiries, understand intent, collect the information that determines fit, route urgent needs, and deliver a structured summary into the workflow.

Internal knowledge assistants

Give staff a conversational route into policies, procedures, product information, and institutional knowledge, with the source visible behind every answer.

Document classification and extraction

Identify what a document is, pull the fields that matter, validate them against business rules, and send anything uncertain to a reviewer.

Document summarization

Condense long records, correspondence, and reports into the form a specific role actually needs, without discarding the underlying evidence.

Structured report and draft generation

Produce first drafts of recurring documents and reports in a defined structure, ready for a person to review, edit, and approve.

Tool-enabled workflow agents

Monitor events, apply business rules, take approved actions across connected systems, and escalate anything outside the defined path.

AI-enhanced portals

Add retrieval, summarization, and drafting inside client and employee portals, scoped to what that role is already permitted to see.

Human-reviewed decision support

Surface patterns, missing information, risks, and recommended next steps while keeping the evidence in view for the person deciding.

AI features inside custom applications

Build intelligence into the product itself, where it belongs to the workflow rather than sitting beside it as a separate tool.

RESPONSIBLE BY DESIGN

Control is part of the product.

Proven models, integrated

We build on established, commercially available models and connect them to your data, tools, and workflows. Logic Current does not train foundation models or build large language models from scratch.

Permissions

Agents receive only the access and tools required for the approved task, resolved from the same role model as the rest of the system.

Grounding

Assistants answer from approved company material, with the source available behind the answer rather than hidden inside it.

Observability

Inputs are logged alongside outputs. Actions, decisions, failures, and escalations remain visible and reviewable after the fact.

Validation

Outputs are checked against business rules and expected structure before they are allowed to change anything.

Data boundaries

What the system may read, what leaves your environment, and what is retained are settled during architecture—not after launch.

WHERE HUMAN REVIEW MATTERS

Some decisions stay with a qualified person.

Clinical, legal, financial, tax, credit, employment, and other high-impact decisions should remain under qualified human control. In these domains an AI-powered system is there to assemble, organize, summarize, check for missing information, and prepare work for review. It is not there to reach the conclusion.

We design the routing for this explicitly: category and confidence together determine what may proceed and what must stop for a person. Logic Current does not make accuracy guarantees and does not represent these systems as a substitute for professional judgment.

Clinical

Care and treatment decisions stay with qualified clinicians. The system organizes information, prepares documentation, and flags gaps.

Legal

Legal conclusions and advice stay with qualified practitioners. The system assists with retrieval, drafting, and completeness.

Financial and tax

Financial and tax positions stay with qualified professionals. The system prepares, organizes, and checks for missing inputs.

Credit and lending

Credit outcomes stay with authorized decision-makers under the institution's own policy. The system assembles and presents the file.

Employment

Hiring, discipline, and termination decisions stay with people. The system handles scheduling, records, and process consistency.

Safety-critical operations

Any decision where an error causes physical or financial harm keeps a person in the approval path.

IDENTIFY THE RIGHT AI USE CASE

Start with the operational problem—not the model.

Bring the queue that backs up, the document category that consumes skilled hours, or the question your team answers twenty times a week. We will map the data boundary, the review step, and what the system is allowed to do.