Custom AI applications that help your team find answers and complete tasks.
Build knowledge assistants, document workspaces and task-focused agents around your approved information and existing systems, with permissions, review steps and evaluation defined from the start.
More than a chat window.
A useful business application needs the right context, controlled access and a clear connection to what happens next. Most are built for your own staff; some become features your customers use, and those are scoped with extra care around permissions, cost per request and fallback behaviour.
Knowledge assistants
Help staff find answers in approved information, inspect supporting sources and recognise when an answer is unavailable.
Document workspaces
Organise extracted information, flag uncertain fields and let staff correct results before export.
Task-focused agents
Prepare summaries, draft responses and support defined actions, with human approvals where the workflow needs them.
“What information do we need before onboarding a supplier?”
Draft answer with references: relevant steps from approved operational documents, ready for staff review.
Examples of applications we can scope.
Each is written the way we scope a bounded pilot: the input, the result, the review step and what happens downstream.
Onboarding and policy questions for staff
Internal · HR, operations, compliance- Example input
- A new starter asks “How many days’ notice do I need for leave?” in the assistant.
- Result
- A drafted answer citing the current handbook section and version.
- Review step
- Questions the handbook cannot answer are declined and routed to HR with the question attached.
- Downstream action
- Nothing is written anywhere. The answer and its sources are shown to the person who asked.
Supplier document intake
Internal · Procurement, finance, trading- Example input
- Certificates, invoices and specifications arrive by email in mixed formats.
- Result
- Agreed fields extracted into a workspace, with each uncertain field highlighted.
- Review step
- A person confirms or corrects the flagged fields before anything leaves the workspace.
- Downstream action
- The confirmed record is exported to the accounting tool or ERP. During a first pilot, the export itself waits for approval.
Customer enquiry drafting
Customer-facing · Sales, support, admissions- Example input
- An enquiry lands in the shared inbox or the CRM.
- Result
- A reply drafted from your own approved material, with the sources it used.
- Review step
- A person edits and sends. Response time and correction rate are measured against a baseline.
- Downstream action
- Sending is a consequential action, so it stays with a person during the pilot.
Chosen per project, not by habit.
We are not tied to a provider. The model, the hosting and the retrieval design follow your data, your residency needs and your budget. Hosting region and model provider are chosen per project, and we confirm the combination is feasible before proposing delivery.
- Model providers
- Leading commercial providers, or self-hosted open-weight models when data must stay in a region or on your own servers.
- Retrieval over approved documents
- Documents are indexed with their permissions attached. Retrieval returns only sources the user may see, answers cite those sources, and questions the sources cannot support are declined and routed to a person.
- Hosting
- Your cloud, ours or on-premise, with regional hosting where residency matters and the combination is feasible.
A focused pilot can include
- A defined task and user group
- Approved sample inputs and evaluation cases
- An interface for results, review and exceptions
- Required integrations and access controls
- A review of limits, operating costs and rollout needs
Success is checked against an evaluation set agreed before building: accuracy, error types, how often the system asked for review, and cost per run.
Before we begin.
Will an AI answer always be correct?
No. Evaluation, review controls and behaviour for uncertain or missing information are scoped; the level of human involvement depends on the task.
Can we use our own documents?
Yes, subject to permissions, data suitability and agreed processing arrangements. Documents are indexed with their permissions attached, so an answer can only draw on sources the asking user is allowed to see.
How autonomous will an agent be?
The allowed actions are part of the scope. During a first pilot, consequential actions such as sending a message or writing to a business record wait for a person to approve them. After the evaluation, automatic actions can be agreed per action, with validation rules, logging and exception handling written into the scope.
Can it work with documents in Arabic, German or other languages?
Yes. Multilingual inputs are included in the evaluation set so accuracy is measured per language rather than assumed.
Where is our data processed?
In the region and with the providers agreed in scope: your cloud, ours or on-premise. Hosting region and model provider are chosen per project, and we confirm the combination is feasible before proposing delivery.
Which tools and systems does Blend work with?
The ones you already run: email, spreadsheets, accounting and billing tools, CRMs, WhatsApp, ERPs and files of every kind, including drawings and scans. Workflow platforms such as n8n where they fit, custom code where they do not, and the model provider that suits your data and residency needs. Each connection depends on what the tool and your account type allow, which we confirm during the assessment.
Give your team AI that fits the task.
One user group, one task, an agreed evaluation set. That is enough to start.