Knowledge and back office
Make company knowledge useful in the work itself.
Discuss your workflowThe operation, connected
Aiwah builds enterprise knowledge systems and back-office automation that connect documents, decisions and operational records. Permission-aware retrieval-augmented generation, document processing and controlled AI workflows help teams find evidence and prepare the next action. People retain authority over approvals and sensitive decisions, with a traceable record of what the system used and what happened next.
Your company may have the answer, but finding it still takes several people and hours of reconciliation. Reports, policies, meeting decisions and finance records live in separate places. Personal AI tools cannot safely recreate that shared context. We build a permissioned knowledge layer and the workflows that turn a sourced answer into useful, controlled work.
What we can build
Scope the combination that solves your operating problem, with clear responsibilities for software and people.
Index approved documents and operational sources for retrieval-augmented generation. Answers can link back to the passages and records that support them. Access restrictions must apply before information reaches the model, and the system should distinguish missing evidence, outdated material and conflicting sources rather than invent a confident answer.
Capture documents, extract structured fields, classify requests and connect the source to the resulting record. Validation, duplicate checks and confidence thresholds determine what can proceed and what needs review. Staff can inspect and correct extracted information without losing the original document or its processing history.
Connect invoice intake, vendor matching, purchase-order checks, approval thresholds and ERP-ready records. Route mismatches, unusual amounts, changed bank details and uncertain treatment to the responsible person. The system prepares the evidence and routine work while finance keeps payment authority and policy judgment.
Connect meeting decisions, tasks, procedures and operational history so teams can find what was agreed and what followed. Preserve ownership, dates and source context. Knowledge becomes useful to onboarding and daily decisions when it remains tied to the work and people it describes.
Give agents specific tools and bounded responsibilities such as preparing a report, drafting a response or proposing a record update. Sensitive changes require explicit approval. Action history, failure handling and escalation rules make it possible to inspect what the agent attempted and recover when a dependency fails.
Design roles, document permissions, approval gates and audit trails around the consequence of the workflow. Separate preparation from authorization and make exceptional access visible. Requirements for regulated environments are scoped with the client; a software feature or an AI model is not a substitute for the organization’s compliance responsibilities.
Permissions, review and provenance remain visible before an action is approved.
An example workflow
This is a starting point for design. The actual workflow, permissions and integrations are scoped around your operation.
Documents and system records enter with ownership, access rules, timestamps and enough structure to preserve their meaning.
The system finds relevant evidence, extracts fields or drafts a response. Sources and uncertainty remain visible to the reviewer.
A person checks exceptions and authorizes sensitive decisions. Routine preparation stays separate from financial or operational authority.
Approved outputs reach the destination system with a history of evidence, corrections and actions that can inform future work.
Works with your existing tools
Knowledge and back-office systems can connect document repositories, shared drives, approved messaging sources, databases, accounting tools and ERP platforms. We assess source permissions, retention requirements, update frequency and supported access methods. Model and retrieval choices follow the confidentiality, accuracy and operating requirements of the workflow.
Measures we can define together
We establish a baseline and agree a measurement method. Results depend on your process, data and adoption; these are measures to track, not promised outcomes.
Related work and thinking
Explore existing case studies and essays connected to this service.
Case study · Infrastructure project operator
Project reports turned into current, source-linked answers for leadership across regional teams.
Read the case study
Case study · Financial services company
Invoice extraction, vendor checks, approval evidence and ERP handoff in one controlled record.
Read the case study
Case study · Multi-site clinic group
Permission-aware intake, document checks and accountable human review in one controlled workflow.
Read the case study
Essay · 3 min read
A useful agent has a defined job, bounded authority, reliable evidence and a clear route back to a person.
Read the essayFrom discovery to live operation
We begin with a working session around a real example. We map the workflow, identify the costly handoffs and agree the decisions, permissions and integrations the system needs.
We then shape a focused first release, build the operating interfaces and test routine work alongside exceptions and failure recovery. Rollout includes the people using the system and a way to observe whether the change is helping.
You keep practical control of the code, workflows, business logic, data and operating context we create, subject to third-party services and licences. Support and continued improvement are scoped with the engagement.
Read about security and controls →Before we begin
A production knowledge system needs source updates, permissions, evidence, review and a connection to real work. We design those boundaries explicitly. A useful answer should identify its sources and limits, and any resulting action should respect the same authority model as the rest of the business.
The design must fit the sensitivity of the data. We scope access controls, hosting, model-provider terms, retention and audit requirements with you. We do not assume every source should be indexed or every employee should receive the same answer.
Not by default. The system can prepare records, run checks and surface evidence, while a named person retains approval authority where required. The boundary between a routine action and a consequential decision is agreed and tested before deployment.
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Bring one important workflow
Tell us where the operation slows down, what your team is doing manually and what a better result would look like.
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