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Agentic AI Automation

Automate business processes
without rising headcount

Most companies already own enough software. MindK's agents handle the expensive work that happens between your CRM, ERP, helpdesk, and inbox. Get our AI components tailored to your business workflows, and see the result measured in production within weeks.
Audit my processes

Process audit01
Pilot + ROI measurement02
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What is agentic process automation?

Agentic process automation runs multi-step workflows end-to-end, even if the input is too varied and unpredictable for rigid rules. For example, automating insurance checks requires an agent to decide when to call, navigate multi-level IVRs, enter data in the format requested by a specific payer, handle queues and transfers, speak with a rep, and return structured data. The same applies to the majority of business processes.

How agentic automation differs from traditional RPA

RPA replays fixed steps, such as copying fields from a supplier's PDF. If the vendor changes the invoice layout, RPA will likely fail immediately. Intelligent process automation adds AI document reading to those bots, but the sequence of steps stays fixed. Agentic automation decides what to do based on the content of each request. It can read an email saying "the jacket from my March order arrived torn", find the order, and draft a refund for approval. Most production systems combine the two approaches. Agents can call your existing RPA bots as tools.

Key capabilities of AI agents for business

Autonomous agents understand free-form input, such as customer emails and scanned documents. They can retrieve the necessary context, plan multiple steps ahead, choose the best course of action, and trigger these actions via APIs and other tools within the permissions you define. Finally, uncertain or high-risk cases are usually escalated to a person. MindK builds these capabilities from ready-made blocks, so engineering effort goes to your process logic.

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AI agents for every team

Speed up sales and customer support, and hand routine back-office work to agents.

Customer support

Let an agent handle warranty and return claims end to end. It checks the purchase in your ERP, reviews the customer's photos against your warranty terms and creates the return and replacement order. Claims above your limit or with unclear damage go to a support lead.
Cut cost to serve

Sales & marketing

Don't waste time on leads that go nowhere. AI agents can auto-log calls, notes, and pipeline updates in real time, as well as auto-qualify leads based on behavioral signals and CRM data.
Improve rep productivity

Finance & accounting

Your AP software already matches clean invoices. The agent works the exceptions: it compares the invoice with the purchase order, goods receipt and supplier emails, then drafts a resolution such as a credit-note request. An AP specialist approves every payment change.
Cut cost per invoice

Human resources

Screen hundreds of resumes without turning recruiting into a chicken-or-egg problem. AI agents can go beyond simple keyword matching and assist new employees without distracting HR.
Reduce time to shortlist

Operations

Many partners still answer only by phone or web portal. Voice and portal agents check order, claim or shipment status with them and write the answer back to your systems. Cases the partner can't resolve go to your team with a call summary.
Cut operations cost per case

Procurement

An agent chases supplier order confirmations by email, including suppliers with no portal or EDI connection, and writes the confirmed delivery dates back to the ERP. Late or partial shipments go to a buyer.
Protect on-time fulfilment

Results our clients get

Read the stories of executives who took the leap to implement agentic business process automation in their companies.

  • Background for

    Saving 15-60 minutes of a medical biller's work per one patient

    Voice call agent

    Verifying benefits by phone meant staff working through IVR menus, waiting in queues and writing down a representative’s answers. MindK built a voice agent that runs the whole call, from dialing within the payer’s open hours to returning structured benefit data to the billing system. Deterministic rules handle known IVR prompts, and language models step in only where a prompt needs interpretation.

    • 69 voice call capabilities across the entire lifecycle.
    • Twenty payers supported, each with their own quirks.
    • 13 call outcome classes telling the workflow what to do next.
    • Answers structured as 34 fields that billing systems read directly.
    • Patient identifiers removed before reaching the AI model.
    Voice agent case study
  • Background for

    Running 90% of coverage checks without human intervention

    AI chat agent

    Checking insurance coverage involves a lot of preparation before the actual work: logging into payer portals, navigating menus, waiting for a payer’s response, and copying data between systems. MindK’s agentic process automation tools automate both this busywork and the chat conversations. The language model phrases messages, while deterministic code decides which benefit values are accepted and when a verification is complete.

    • 61 chat capabilities automated.
    • 32 outcome classes, each mapped to the next action.
    • Guardrails to prevent a plausible-sounding model response from becoming a source of truth for downstream actions.
    • Optional human approval before any message reaches the payer.
  • Background for

    360° screening of the candidate skills and experience

    C-level hiring AI assistant

    Our client fills high-stakes leadership positions. Filtering such candidates requires a nuanced look at experience and qualifications instead of automated keyword matching. We helped the client simplify this process with an AI agent, integrated with the client’s Slack.

    Agentic AI automation in detail:

    • Fine-tuned LLM for candidate matching with advanced reasoning.
    • Analysis of additional information provided in private chats to determine fit probability.
    • Interpretation of the industry context and specific executive competencies.
    • 360° candidate screening using all available information (structured & unstructured).
    Request case study
  • Background for

    74% of tickets resolved without human intervention

    Intelligent tech support agent

    A fast-growing SaaS platform struggled with escalating support volumes. Most tickets involved basic API doc lookups, integration, and feature guidance. RAG-based agentic automation freed the team from routine tickets, allowing them to focus on the more complex requests.

    AI agent capabilities:

    • Automated processing of API docs, user manuals, and annotated screenshots into a searchable knowledge base.
    • Understanding of queries beyond keyword matching (“authentication flow” vs “user authentication settings”).
    • Responses with attribution of source, relevant API examples, and code snippets based on query context.
    • Multi-modal document parsing for code examples, API schemas, and visual interface guides.
  • Background for

    Candidate approval cut from weeks to hours

    Agentic automation for surrogacy agencies

    Our customer vetted surrogate applicants through spreadsheets and manual follow-up. MindK replaced that with a HIPAA-compliant cloud system built around AI agents. Each case gets a color-coded quality flag with a plain-language reason, so staff see why it was flagged.

    • AI-assisted matching between intended parents and carriers ranked across dozens of weighted criteria.
    • AI summarization of clinical notes and case files without having to open raw documents.
    • Adjustable scoring rules and examples without a development team.
    • Medical records collection kept manual where HIPAA and providers require it.
    • Every override is recorded and used to tune future scoring.
    Agentic automation for healthcare companies
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    Our ready-made agents and AI building blocks

    Our ready-made agents and AI building blocks

    Voice call automation

    Places outbound calls, works through phone menus and hold queues, interviews a live representative, and returns structured data.

    Mult-step chat workflows

    Runs third-party web-chat conversations with automated bots and live representatives, including holds and redirects.

    Browser workflow automation

    Completes repeatable tasks in third-party web portals that have no API.

    Report & CV Evaluation

    Assesses CVs, reports, and other document types against configurable criteria.

    Lead Intake & Qualification

    Checks each inbound lead against your qualification criteria and routes qualified ones to the right rep with a summary.

    Sales outreach

    Drafts personalized emails and follow-ups from CRM data and account research, sent after rep approval or under rules you set.

    Interactive Q&A for course promotion

    Answers the potential enrolee's questions based on the course content inside LMS and enterprise learning systems.

    SMS, Email, Fax automation

    Sends, receives, and processes required records and requests across traditional channels.

    Document processing

    Extracts structured data from PDFs, scans, forms and email attachments.

    Data normalization

    Standardizes formats and flags duplicates in records from different sources before they reach your systems.

    Grounding checks

    Grounds responses in the company's internal knowledge base, and backs every recommendation with a link to the guidelines.

    Completion rules

    Marks a task done only when every required field is captured

    Human-in-the-loop controls

    Pauses selected agent actions or AI recommendations for staff approval and records every override

    Model gateway

    Lets each component switch AI models or providers without changing workflow logic.

    Sensitive data masking

    Hides personal identifiers before third-party AI models see them.

    Our agentic process automation services

    We cover the full path from process discovery to agents running in production, whether the agents work across your current systems or inside your own product.

    Process audit: find your automation wins

    We map candidate workflows by volume and exception rate, then choose the first one by expected return and risk. Discovery starts with business process optimization, because some steps can be removed before anything gets automated. You get a ranked list of workflows and a build plan with success metrics for the first one.

    Learn more

    Automation with ready-to-use agents

    Agents connect to your CRM, ERP, helpdesk, HR system, and document storage through APIs. Your systems stay the source of truth. Agents read from them and write back through logged, permission-scoped actions. This fits mid-market and enterprise teams that want AI agents working across the tools they already run.

    Custom AI agent development

    For software companies, we build agents that run inside your product. That can be an assistant that completes tasks for your users or back-office automation you sell as a feature. Ready-made blocks shorten the path from roadmap item to release.

    Learn more

    Agentic replacement of third-party SaaS

    Per-seat SaaS licenses grow with your headcount, and your workflow has to fit the vendor’s roadmap. MindK replaces those subscriptions with a custom-fit product built from ready-made AI components around the way your team works. You own the code and the data. Total cost of ownership typically drops by 30-40%.

    Learn more

    Data and integration layers

    Agents are only as reliable as their inputs. We build the connectors, data validation and event-driven orchestration that let agents act safely and let you see what they did. After launch, we track exception volume and cost per task. Coverage expands to the next workflow once production data shows the current one is stable.

    Learn more

    How we deliver results

    The pilot is typically live in 2-4 weeks after kickoff, with the full solution taking 7 to 12 weeks to become operational. Success criteria and a baseline are agreed upon in the first week, and the automation is judged against them.

    Process audit

    Duration: 3-5 days

     We map where work gets stuck and which exceptions need a person. What you get: a ranked list of workflows to automate, with a baseline and success metrics for the first one.

    01

    Data & integration assessment

    Duration: 1-2 weeks, in parallel

    MindK reviews your source systems, data flows, access needs, and regulatory constraints. What you get: a map of the systems and data the agents will use, and a list of which actions run automatically and which need approval.

    02

    Pilot build

    Duration: 1-3 weeks

    We design the agent logic, integrations and review paths, then build one narrow workflow from reusable blocks, with senior engineers owning every decision. The pilot runs on real data, with your staff reviewing exceptions and sensitive actions. What you get: a working pilot measured against the agreed success criteria, and a cost-per-task estimate at full volume.

    03

    Full solution

    Duration: 2-3 months

    The workflow expands to its full scope and volume, with every integration, permission and review path in place. Coverage grows in stages, and your staff can override and trace every automated step. What you get: the complete workflow in production, with a review queue and admin console for your team.

    04

    Monitoring and scale-up

    Duration: ongoing

    We track errors, exceptions and cost per task in production. Automation expands to the next workflow only when the data shows the current one is stable. What you get: a recurring performance report and a recommendation for the next workflow to automate.

    05
    Audit my business processes

    Security, compliance and AI governance

    An agent with write access to your systems is a new kind of user. MindK gives it the controls you'd apply to a new employee, plus a record of every action it takes.

    Permission-scoped tools and approval gates

    Each agent can reach only the tools and records its task needs. Actions above set thresholds, such as refunds over a limit or changes to payment details, wait for human approval. Every automated change can be traced and reversed.

    An audit trail for every agent action

    We log what the agent read, which tool it called, what it changed and who reviewed the exception. Your auditors and your operations team work from the same record.

    Data privacy, GDPR and model hosting

    Agents read untrusted text, such as customer emails and uploaded documents. We keep instructions separate from the content agents process and limit each tool to the actions its task requires. Injection attempts are part of the evaluation set every release must pass.

    HIPAA compliant AI and SOC 2-aligned controls

    For workflows that touch protected health information, each engagement starts with a BAA, and PHI minimization is part of the design. Delivery runs on SOC 2-aligned operational safeguards, including change tracking and access reviews.

    Why companies choose MindK for agentic process automation

    MindK runs its own agentic platform in a highly regulated niche, at hundreds of thousands of claims a month.

    Ready to use AI blocks

    Voice, chat, and document agents already run in production with review queues, audit logs, and agent orchestration that come from the same library of components.

    01

    4-5x faster customization

    Wherever the process requires new integrations or custom components, our engineers build those at 1/5th of the cost with our agentic engineering approach.

    02

    Healthcare grade AI controls

    Our agents run in US healthcare billing with strict access controls and audit trails. Finance, insurance, HR, and other teams get the same controls from the first release.

    03

    We tell when you don't need us

    Our audit flags workflows that the agent builders inside your current software licences already cover. MindK builds only where a custom agent pays for itself.

    04
    Contact us

    What
    our
    clients
    say

    • Al Hariri

      Al Hariri

      Co-Founder, Vitagene
      USA

      Al Hariri

      Results-oriented and
      outcome-driven

      «I can tell you confidently that they are different from your regular agency that just wants to charge as much money for their work as they can get away with. MindK is completely results-oriented and outcome-driven.»

      Clutch review
    • Jesse Raccio

      Jesse Raccio

      CTO, The Game Band
      USA

      Jesse Raccio

      The team is always there to dig in and help

      «I’m happy with MindK’s agility, which relates to their communication. If we need to pivot on something, they’re ready to go in a different direction, and it doesn’t take a lot of energy to move that ship. The team is always there to dig in and help us out when we need to understand anything. Overall, they’re really supportive.»

      Clutch review
    • Ida Groth

      Ida Groth

      Senior Product Manager, Building Materials Company
      Norway

      Ida Groth

      Responsibility
      and proactiveness

      «It’s so comforting to know that they see the whole picture and take full responsibility. It’s made all of the difference. I was most impressed with their proactiveness.»

      Clutch review
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      Meet your future with
      agentic AI automation

      Schedule a 30‑minute call to map out your first wins. No obligations, no tech speak.

      Contact us

      FAQ

      • How does agentic AI automation work?

        A trigger such as an email or ticket starts the run. The agent retrieves context, plans the steps and acts through permission-scoped tools. Low-confidence cases go to a review queue. Every action is logged, and reviewer corrections become test cases for future releases.

      • What tasks can AI agents reliably handle without human intervention?

        Agentic AI process automation excels at high-volume, repeatable tasks. These include triaging support tickets, summarizing data, drafting responses, updating records, and monitoring workflows. Exceptions or edge cases are, of course, escalated to humans.

      • What are the key capabilities of AI agents for business?

        AI agents for business combine five capabilities. They understand unstructured input, such as customer emails and scanned documents. They retrieve context from your systems before acting. They plan multi-step tasks and choose the next action. They act through APIs and other tools within set permissions. Finally, they escalate uncertain or high-risk cases to a person and log every step they take. MindK builds these capabilities from ready-made blocks, so engineering effort goes into your process logic.

      • Do you customize the AI agents to match our business processes?

        Yes. We tailor AI agents to your workflows, terminology, approval paths, and even tone of voice. This ensures alignment with internal SOPs and avoids user confusion or friction. If necessary, MindK can also develop fully-custom AI agents.

      • How do companies use agentic AI for business process automation?

        MindK starts with one high-volume workflow that has many exceptions, such as warranty claims or invoice mismatches. The agent handles routine cases end to end and routes the rest to a person for review.

      • Do we need technical staff to manage the agents?

        Not necessarily. Most AI agent tools are low-code or no-code automation platforms. For advanced customizations or integrations, light support from IT or a solution architect can accelerate success.

      • Can we test AI agents with a low-risk pilot before full deployment?

        Absolutely. We typically start with a structured pilot in a controlled environment to demonstrate value, train on your data, and build internal confidence in agentic automation.

      • Will we need to change our existing systems?

        No. MindK adds AI process automation to your current tech stack (e.g., Salesforce, ServiceNow, Microsoft 365) via APIs or RPA. We enhance existing tools, not replace them.

      • How do you ensure data security, privacy, and compliance?

        Our AI agents for enterprise teams adhere to relevant regulations and standards like SOC 2, GDPR, and HIPAA. Data is encrypted in transit and at rest. You get audit logs, access controls, and secure on-prem/cloud deployment.

      • What is the typical ROI and time-to-value?

        Most companies see initial ROI within 3-6 months. Cost savings from automation range from 20% to 60%, with measurable gains in productivity, cycle times, and accuracy from day one.

      • How do you choose among the best agentic process automation companies?

        Vendors range from platform companies that license agent-building tools to engineering firms that build and run agents on your systems. Ask each one for a workflow running in production with its volume and error rate. Ask who owns the code and prompts, how agents are tested before each release, and what a task costs at your volume.

        See what AI can do for your business

        Reply “AI Audit” and we’ll schedule a 30‑minute call to map out your first wins. No obligation, no tech speak.

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