Internal knowledge assistants
Help teams query approved knowledge sources with access controls and references to supporting material.
QuestionRetrieveRespond
Applied AI / Workflow automation
Less repetitive work.
More useful intelligence.
Make information easier to find and repetitive work easier to manage. We develop AI assistants, document workflows and application integrations around specific business tasks, with evaluation and human review built into the process.
Context → Reasoning → Useful action
Approved documentsBusiness recordsKnowledge sources
Your task-specific assistantRetrieve · Structure · Respond
Grounded responseReady for reviewSources and the next action, together.
Find the right first use case
Start small enough to learn.
Useful enough to matter.
Document processing
Extract and classify information from agreed document types, with validation for uncertain results.
ReceiveExtractReview
Service team assistance
Support response drafting, request summaries and routing while keeping people in control of customer communication.
UnderstandDraftApprove
Connected workflow automation
Move structured information between business tools and trigger actions under defined rules.
EventRulesAction
A useful first conversation
Which task should work better?
Tell us what repeats, where the information lives and how your team would judge a useful improvement.
- The task and the people doing it
- Approved data and knowledge sources
- Quality and human-review requirements
- Existing software and expected usage
Engineering the complete workflow
A good demo is the start.
A useful system takes more.
We develop the retrieval, interfaces, evaluation and integration together. The model is one component of a working business process.
Representative tasks↓Evaluate quality↓Review & improve↺
Use-case discovery
Assess task suitability, source data, constraints and the criteria for a useful outcome.
Knowledge retrieval
Develop retrieval workflows over approved content with source references and access-aware design.
AI assistant development
Build task-specific interfaces and orchestration for internal or customer-facing applications.
Document automation
Implement extraction, classification, structured output and review queues.
Evaluation & controls
Test representative cases, quality thresholds, fallback behaviour and human approval steps.
Application integration
Connect AI workflows to CRM, ERP, portals and existing APIs.
Put intelligence inside the work
Information in.
A considered action out.
Connect
Approved knowledge and business data
Process
Retrieval, classification or drafting
Validate
Rules, quality checks and human review
Act
A response or a controlled system action
Knowledge sourcesCRM & service toolsERP & operationsHuman reviewIdentityMonitoring
Client relationships across industries.
Before we begin
Your questions,
considered.
Do we need to train a model from scratch?
Often the first step is using an existing model with retrieval, workflow logic and evaluation. We assess whether fine-tuning or custom modelling is justified by the task.
Can you use our private documents?
We scope permitted data sources, access rules, provider settings and retention requirements before connecting private information.
How do you manage incorrect outputs?
We design for the task: source references, structured validation, uncertainty handling, test cases and human review where needed.
Can AI connect to our CRM or ERP?
Yes, where suitable access and APIs are available. We define which information the workflow can read and which actions require approval.
What does a pilot include?
A defined use case, representative data, a working workflow and agreed evaluation criteria. The result informs a decision about further development.
What affects ongoing costs?
Model usage, hosting, retrieval storage, traffic and maintenance can contribute to running costs. We discuss these alongside development and scope.