AI workflow automation · Agents · Human gates

Give your team AI that gets real work done

DEIENAMI builds AI-powered workflows that understand incoming information, prepare decisions, and coordinate work across your existing systems. We combine AI with reliable automation, clear rules, human approvals and operational monitoring.

Get an AI Workflow Assessment See AI in Action
  • AI interpretation
  • Human approvals
  • System write-back

Start with one workflow. Expand when the business value is demonstrated. This page is not a public price list.

Business problems

Your team is still doing work your systems should handle

Three audiences. One idea: AI prepares the work, people decide what matters.

Operations team collaborating around a table

Operations

Handoffs and internal requests pile up between tools

Today
Staff retype requests, chase owners and lose status across email and chat.
With AI assist
AI classifies the request, drafts the next step and routes it with a named owner.
Improvement type
Fewer lost handoffs and clearer queues. Exact savings depend on volume and quality of source data.

Interactive examples

See AI in action across three workflows

Illustrative demos with sample data only. No live model or production connection.

Customer support triage · illustrative

Sample only

Flow

    Status

    Get an AI Workflow Assessment See Assess → Prove → Deploy

    What we build

    AI workflow services and use cases

    Nine practical paths. We start with one workflow, not a vague platform rewrite.

    AI-powered customer support

    Triage intent, draft replies and keep a person on the send button.

    AI document processing

    Extract fields, validate rules and pause exceptions for review.

    AI sales operations

    Classify enquiries, prepare CRM records and queue follow-ups.

    Intelligent request routing

    Send internal requests to the right owner with context attached.

    AI procurement assistance

    Prepare purchase packs and flag policy issues before approval.

    AI workflow orchestration

    Coordinate AI, rules and human gates across the systems you already run.

    AI-assisted reporting

    Draft operational summaries for a manager to review and publish.

    Internal AI assistants

    Help staff find process answers with clear ownership of the reply.

    AI integration and governance

    Access control, evaluation, logging and a path to pause when things fail.

    What customers receive

    Artefacts you can open and review

    Professional engineering goes beyond a no-code zap: rules, approvals, evaluation and recovery are designed in.

    Illustrative AI request orchestration from request to CRM update

    Sample

    Workflow architecture

    Request, AI step, rules, human gate and system write-back on one diagram.

    Illustrative AI decision and human approval paths

    Sample

    AI decision boundaries

    What AI may propose, what rules block, and what a person must approve or reject.

    Illustrative workflow monitoring dashboard

    Sample

    Error monitoring dashboard

    Queues, waiting approvals and failed write-backs stay visible for the scoped workflow.

    Illustrative error retain retry and escalate path

    Sample

    Recovery design

    Retain the item, retry where safe, escalate to a named owner. No silent success.

    Person reviewing business documents representing a rules matrix

    Sample

    Business-rule matrix

    What is automatic, what needs AI, and what a person must approve.

    Team collaborating on handover documentation

    Sample

    Operational handover

    Runbook, owners, pause path and what was not tested.

    Delivery model

    Assess, Prove, Deploy, then Operate

    Scope boundaries for evaluation. Final terms follow qualification. Third-party software and model usage costs are separate.

    Assess

    AI workflow assessment

    Qualify the problem

    • Repeated task and impact
    • Systems and access constraints
    • AI vs rules recommendation

    Limited review for suitable enquiries. Not unpaid consulting.

    Get an AI Workflow Assessment

    Prove

    Proof of value

    Quoted after qualification

    • One defined workflow
    • Sample corpus or ticket set
    • Human gate and evaluation

    Fixed-scope demonstration of value before wider rollout.

    Discuss a proof of value

    Deploy

    Production implementation

    Scoped after Prove

    • Integrations and access control
    • Testing and documentation
    • Monitoring hooks

    Complex multi-system programmes are scoped separately.

    Discuss deployment

    Operate

    Ongoing care

    Separate agreement

    • Monitoring and incident path
    • Evaluation refresh
    • Bounded enhancements

    No unlimited support. No uptime guarantee on this page.

    Discuss care

    When should you not use AI?

    If the task is predictable and rules are enough, deterministic automation is usually better. See Workflow automation and System and API integration.

    AI workflow FAQ

    Straight answers on mistakes, approvals, systems, failures and ownership. The contract still sets the exact terms.

    Will AI make mistakes?

    Yes, it can. We design human approvals, validation and monitoring where risk is high, and we evaluate known failure cases for the scoped workflow.

    Can employees approve important actions?

    Yes. Human gates are part of the design for money, compliance and customer commitments. Silent auto-approve is not the default for high-risk steps.

    Can it connect to our current software?

    Usually when APIs, mail, files or approved connectors are available. Compatibility is confirmed in Assess.

    What happens when an API or model fails?

    We design an explicit failure path: retain the item, alert a named owner, retry where safe, and escalate. The destination should not look successful when the write did not happen.

    How is sensitive data handled?

    Least access, prefer your accounts, and keep secrets out of the marketing form. Handling details are written into the engagement agreement. We do not claim a regulation is met without supporting evidence.

    Can we start with one workflow?

    Yes. Prove is built for one defined workflow before any wider rollout.

    Who owns the implementation?

    Ownership, licensing and support terms are defined in the contract for the engagement.

    What are the operating costs?

    Expect DEIENAMI care (if chosen) plus any third-party software, hosting and model usage. Those third-party costs are separate and confirmed during scoping.

    Qualified enquiry

    Find the first AI workflow worth building

    Tell us about a repeated task or operational bottleneck. We will assess whether AI, traditional automation or a simpler process change is the right next step. Your submission creates a New lead, not an automatic Qualified opportunity.

    1. We acknowledge and triage the brief.
    2. If it fits, we outline Assess next steps or ask one clarifying question.
    3. If Prove fits, we quote fixed scope after qualification.

    Related: Workflow automation · Enterprise RAG · System and API integration · Private AI

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