Service · AI Automation

AI Automation Services

Automate document, support, operational, and cross-system workflows with AI, business rules, integrations, and human approvals—reducing manual effort while improving speed, consistency, and control across everyday business processes.

Review an Automation Opportunity

Move work forward, not just generate answers.

Traditional automation works well when information is structured and each request follows predictable rules. But many business processes depend on unstructured documents, changing requests, information spread across multiple systems, and decisions that require context. OpenSource Technologies (OST) designs AI automation for those more complex workflows. AI helps interpret documents, requests, and other unstructured information, while business rules, integrations, and approval gates determine what happens next.

We connect documents, email, databases, APIs, CRMs, ERPs, ticketing platforms, and internal applications so work can move from intake to action without employees repeatedly copying information between systems. The result is a practical automation system designed to reduce manual effort, shorten processing time, improve consistency, and keep people responsible for sensitive, uncertain, or high-impact decisions.

Move work forward, not just generate answers.

Move work forward, not just generate answers.

Traditional automation works well when information is structured and each request follows predictable rules. But many business processes depend on unstructured documents, changing requests, information spread across multiple systems, and decisions that require context. OpenSource Technologies (OST) designs AI automation for those more complex workflows. AI helps interpret documents, requests, and other unstructured information, while business rules, integrations, and approval gates determine what happens next.

We connect documents, email, databases, APIs, CRMs, ERPs, ticketing platforms, and internal applications so work can move from intake to action without employees repeatedly copying information between systems. The result is a practical automation system designed to reduce manual effort, shorten processing time, improve consistency, and keep people responsible for sensitive, uncertain, or high-impact decisions.

Move work forward, not just generate answers.

Our expertise

What we automate.

workflows

Document and data workflows

Extract and validate data from forms, PDFs, invoices, contracts, and attachments. Flag exceptions and update approved systems.

operations

Customer and employee operations

Classify requests, retrieve approved knowledge, draft responses and route complex cases with the relevant history and context.

coordination

Sales and service coordination

Qualify inquiries, prepare follow ups, create records and maintain handoffs across marketing, sales, service, and operations.

approvals

Cross-system actions and approvals

Connect CRM, ERP, ticketing, email, file repositories and internal applications. Automate predictable steps while preserving approval gates for sensitive or high-impact actions.

The integration requirement

AI where it helps. Rules where they matter.

ai automation

Not every workflow step needs AI. Models are useful for interpreting unstructured information, identifying intent and preparing recommendations. Deterministic rules are better for required calculations, validations and routing logic. People should remain responsible for uncertain, sensitive or consequential exceptions.

OST defines which steps run automatically, require confirmation or enter an exception queue. Controls may include role-based access, action limits, audit logs, retry limits, fallbacks, and rollback procedures.

Workflows can connect with OST’s AI Governance and Model Evaluation Services and, as usage grows, Agentic AI Optimization Services.

How we work

Four phases. Same team across all four.

The phases that apply to every engagement, not just ai automation services. The team that scopes does the building, and the operating.

  1. Phase 01 · 2–4 weeks

    Discovery and scope.

    Stakeholder interviews, technical review of existing systems, risk register, written scope with milestones and exit criteria.

  2. Phase 02 · 3–12 months

    Build and iterate.

    Two-week sprints with working demos. Senior leads on every sprint review. Code reviewed, accessibility checked.

  3. Phase 03 · 2–6 weeks

    Cutover and stabilization.

    Parallel run with rollback path. On-call coverage during the launch window. Stabilization continues until incident rate trends to zero.

  4. Phase 04 · ongoing

    Operate and evolve.

    Multi-year retainer with the same team that built the product. Monthly check-ins, quarterly business reviews.

Read the full engagement model on the How We Work page.

Start with one high-value workflow.

Bring us a manual process, fragile rules-based automation or working AI prototype. We will identify what can be automated safely, where human judgment should remain and how results will be measured. Once the workflow proves its value, the integrations and control patterns can support additional processes.

Automate a Workflow

improvement

Measure operational improvement.

The number of model calls or automated steps does not show whether a workflow is successful. OST establishes a baseline and measures outcomes such as processing time, manual touches, backlog, completion rate, exception rate, response time and rework.

Depending on scope, you may receive a workflow assessment, opportunity roadmap, solution architecture, system integrations, approval interfaces, test scenarios, documentation, dashboards, deployment plan and operational runbook.

Frequently asked questions

Common questions on ai automation services engagements.

Can OST integrate AI automation with our existing software?

Yes. We connect through supported APIs, databases, webhooks and file exchange after assessing access, data quality, security and vendor limits.

What is the difference between AI automation and traditional business process automation?

Traditional automation follows predefined rules and works best with structured, predictable inputs. AI automation can also interpret documents, understand requests, classify information and prepare recommendations. OST combines AI with business rules and workflow orchestration to support processes that involve both predictable steps and unstructured information.

What happens when the AI receives incomplete or unexpected information?

OST designs exception handling into the workflow. Depending on the process, this may include required-field validation, confidence thresholds, deterministic checks, retry limits, fallback rules and review queues. Exceptions are routed to the appropriate person with the original request, supporting information and recommended next action.

How does OST protect sensitive data and system access?

We begin by mapping the information the workflow needs and the systems it must access. The solution can include least-privilege permissions, separate service identities, secure credential storage, approved data sources, action limits, audit logs and retention rules. Controls are adapted to the client’s environment, data sensitivity and internal policies.

How long does an AI automation project take?

The timeline depends on workflow complexity, the number of systems involved, data quality, integration availability, approval requirements and testing needs. OST typically begins with discovery and a contained implementation. After reviewing the process and technical environment, we provide a phased delivery plan based on the actual scope.

How much do AI automation services cost?

Cost depends on the number of workflow steps, integrations, AI capabilities, user roles, data sources, approval interfaces and ongoing support requirements. A focused automation involving one process and well-documented systems will generally require less effort than a cross department workflow involving legacy platforms and sensitive information. OST provides an estimate after discovery.

How do we measure the return on an AI automation investment?

OST establishes a baseline before implementation and compares operational results after launch. Relevant measurements may include processing time, manual effort, backlog, completion rate, response time, exception rate, rework and operating cost per completed task. The final metrics are selected according to the business outcome the workflow is expected to improve.

Can OST improve an automation or AI workflow built by another provider?

Yes. We can assess an internally developed workflow, third-party automation, rules-based process or working AI prototype. Depending on the access available, OST can repair integrations, improve workflow logic, strengthen exception handling, add monitoring and prepare the solution for production use. We can also provide documentation, knowledge transfer and ongoing support.