01
Internal knowledge assistants
Policies, procedures, institutional knowledge, research, product information, and internal documents can become easier to find when sources, permissions, citations, and review are designed together.
Services / automation
Build AI into recurring work.
The biggest gains from AI often appear when people stop treating it as a separate chat window and begin connecting it to recurring work. DigitVibe designs AI agents, knowledge systems, and automations around specific workflows. That may involve generative AI, conventional automation, existing enterprise software, APIs, or a combination.
02
AI agents
Purpose-built agents combine instructions, knowledge sources, tools, and appropriate human oversight. The task and failure modes determine how autonomous an agent should be.
03
Document workflows
Classification, extraction, summarization, drafting, quality checking, and routing can reduce repetitive handling while keeping review points visible.
04
Reporting, analysis, and communication
We help teams move from fragmented source data to repeatable analysis, useful summaries, email triage, drafting support, and information routing.
05
Microsoft ecosystem and cross-system workflows
Copilot, Copilot Studio, Power Automate, SharePoint, Teams, APIs, and integrations may be appropriate where they fit existing systems and constraints.
06
Agent or automation?
Conventional automation is often preferable for deterministic rules. AI is useful for language, interpretation, extraction, summarization, flexible classification, or judgment-like work. Hybrid systems are common.
07
From prototype to operational use
Define the task, identify data, establish success criteria, prototype, test failure modes, decide human review, document, deploy, and monitor.
Planning an engagement
Questions before you start.
Who is DigitVibe’s automation and agents service for?
DigitVibe’s automation and agents service suits teams with recurring document, knowledge retrieval, reporting, communication, or cross-system workflows. The starting point is a specific task, the data it uses, and the people responsible for reviewing the result.
Do we need an AI agent or conventional automation?
Conventional automation suits deterministic rules; AI can help with language, interpretation, extraction, summarization, and flexible classification. DigitVibe compares these options against the workflow and may combine them with existing enterprise software or APIs.
How does an agent move from prototype to operational use?
DigitVibe defines the task, data, and success criteria, prototypes the workflow, tests failure modes, and agrees human review before operational use. Documentation, deployment, ownership, and monitoring are considered as part of the work; autonomy depends on the task and its risks.
How is automation work priced, and how do we start?
DigitVibe quotes each engagement around the agreed scope. Fees depend on the work, objectives, people involved, and practical constraints; scope and fees are agreed for the engagement. Use the project inquiry form to describe one recurring workflow, its systems and data, review requirements, and the problem you want to solve.