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AI Development for Automation
Woltrio builds custom business process automation: workflow and approval routing, intelligent document processing, AI agents that act inside your systems, and the integrations that hold it together. We work with operations-heavy small and mid-sized companies across the US and UK that have outgrown Zapier and Make but do not need a six-figure enterprise automation program. Typical engagements run $5,000 to $150,000.
What We Build
Automation that removes the manual work your team repeats every week, with the error handling and visibility that keeps it running unattended.
Multi-step routing, approvals, SLA timers and escalation, replacing the email chains, shared spreadsheets and status meetings that currently move work between people.
How We Make Automation Reliable
Most automation projects fail on the edge cases, not the happy path. This is the engineering that decides whether an automation survives its first bad week in production.
Process discovery before code
We map the current process and measure volume, cycle time and error rate first, so the build targets the step that actually costs you hours rather than the one that is easiest to automate.
Human-in-the-loop by design
Confidence thresholds, review queues and approval gates on anything financial, legal or customer-facing. The automation handles the routine volume and escalates the rest instead of guessing.
Idempotency, retries and observability
Every run is logged, replayable and safe to retry, with alerting on failures and stalls, so a downstream API outage does not silently drop work or post the same invoice twice.
Grounded AI with evaluations
Retrieval over your own data, structured output schemas and regression evaluations run before each release, so model behaviour is measured rather than assumed.
Security and access control
Least-privilege service accounts, managed secrets, scoped permissions per integration and GDPR-aware data handling, with SOC 2-aligned audit logging where clients require it.
The stack we automate with
Temporal, n8n, Airflow and custom Python and TypeScript services, connected to Salesforce, HubSpot, NetSuite, QuickBooks, Xero, Slack, Microsoft 365 and the Anthropic and OpenAI APIs.
Why a Boutique Automation Partner
Enterprise automation programs are priced for organisation-wide rollouts and usually start in the high six figures. At the other end, no-code tools are cheap until the logic gets real, at which point they become fragile and impossible to debug. Woltrio works in between: a single production-grade workflow typically lands in the $5,000 to $15,000 range, a connected suite of automations $15,000 to $60,000, and a custom AI agent platform up to $150,000. Small senior teams, direct access to the engineers, and automation you own outright rather than rent.
Operations-heavy SMBs buried in manual back-office workStartups scaling volume without scaling headcountFinance and AP teams automating invoicing and reconciliationSupport and success teams automating triage and reportingCompanies that have outgrown Zapier or Make and need something durable
Our Development Process
Frequently
Asked Questions
Seeking basic information? Our FAQ section is a ready reckoner with precise answers to the most probable queries.
What is AI workflow automation and how is it different from RPA?
Traditional RPA follows fixed rules and mimics clicks and keystrokes, so it breaks when a screen or a document layout changes. AI workflow automation adds models that can read unstructured input, classify it and decide what happens next, which lets it handle variation. In practice the strongest systems combine both: AI for the judgement steps, deterministic code and RPA for the predictable ones.
How much does it cost to automate a business process?
A single well-scoped production workflow typically costs $5,000 to $15,000 to build. A connected suite covering several processes usually runs $15,000 to $60,000, and a custom AI agent platform with deep system integration can reach $150,000. Budget a further 15 to 25 percent of the build cost per year for maintenance, since integrations and APIs change underneath you.
How long does automation take to pay for itself?
High-volume, high-friction processes pay back fastest. Invoice and document processing automations commonly break even within two to three months, and workflow routing and reporting automations within three to four. The honest test is simple: multiply the hours the process consumes each month by loaded hourly cost, and if the build does not clear that within a year, it is probably the wrong process to automate first.
Should we use Zapier or Make instead of building custom automation?
Use them for as long as they work. No-code tools are the right answer for linear, low-volume flows with a handful of steps. You have outgrown them when you hit branching logic nobody can follow, silent failures with no retry or audit trail, per-task pricing that scales with your growth, or a process too critical to run on something you cannot test or version. That is the point where a custom build becomes cheaper than the workarounds.
Which processes are the best candidates for automation?
Look for processes that are high volume, rule-heavy, repeated on a schedule, and currently spread across several systems with a human copying data between them. Invoice processing, order and claim intake, onboarding and offboarding, report generation, lead routing and support ticket triage are the usual first wins. Processes that need genuine judgement on every case are better supported with a copilot than replaced outright.
Can AI agents be trusted to take actions in our systems?
Within limits you set, yes. We scope agents to explicit permissions, require approval gates for anything financial, legal or customer-facing, log every action for audit, and make the consequential steps reversible. An agent that can only act inside a defined boundary and is measured by evaluations before release is a very different risk profile from one given open access to production.
Do you automate legacy systems that have no API?
Yes. Where a system offers no API, we use browser and desktop RPA, database-level integration, scheduled file exchange or screen-level automation, and wrap it in monitoring so a UI change surfaces as an alert rather than as silently missing data. This is common with older ERP, accounting and industry-specific software that a business cannot realistically replace.
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AI Development for Automation.
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