AI Workflows & Automation
AI agents and workflow automation for the specific manual steps that are eating your team's time — not a generic chatbot bolted onto your site.
Most "AI strategy" conversations right now happen at the level of a slide about efficiency gains, disconnected from any specific manual process anyone's actually mapped. The result is either nothing gets built, or something gets built that's technically impressive and solves a problem nobody was actually losing time to.
On the other end, a lot of what gets sold as "AI" is a chatbot bolted onto a website that answers questions worse than a well-written FAQ page would — a checkbox integration, not a real automation of anything.
The genuine opportunity — agents that take real actions across a team's actual tools, freeing up the hours currently spent on manual lookups, data entry, and repetitive responses — requires actually mapping where those manual hours go before building anything, which is the step most vendors skip in favour of a flashy demo.
Algotrax starts with a process audit, builds agents that take real actions rather than just answer questions, and says plainly when a simpler automation — not an AI agent at all — is the more honest fit.
What's included
Process audit to find where manual work is actually costing the most time
Internal AI agents and copilots for support, sales, and ops workflows
Workflow and ops automation connecting existing tools without a full rebuild
Model integration into your own product, not just internal tooling
Support and sales automation that escalates to a human at the right moment
How it actually runs
Process audit
Finding where manual work is actually costing the most time — the unglamorous mapping step that determines whether automation will genuinely help or just look impressive.
Feasibility & approach decision
An honest read on whether the problem needs a full AI agent, a simpler rule-based automation, or isn't worth automating yet at all.
Agent or workflow build
Built to take real actions — looking up records, drafting responses, updating a CRM — not just answering questions in a chat window.
Escalation design
The moment where automation hands off to a human built in deliberately, not treated as a failure case to minimise.
Monitoring & refinement
Real usage watched closely after launch — automation that goes wrong silently is worse than the manual process it replaced.
Built with
What most agencies get wrong here
Building AI for the pitch deck, not the process.
Impressive demos that don't map to a real, measured time cost are automation theatre.
Selling a chatbot as an "AI agent."
A chat window that only answers questions, with no ability to take real action, is a different, and much less valuable, thing than an agent.
No escalation path to a human.
Automation with no defined handoff point fails its users exactly when the situation gets complicated enough to matter most.
Deploying without monitoring.
An agent that starts drifting or erring silently, with nobody watching, can do real damage before anyone notices.
How the engagement works
The process audit is typically scoped as its own short, fixed-price phase — mapping where manual time actually goes before committing to any build, so the investment targets a real, measured problem.
Agent and automation builds run as fixed-scope projects against specific, audited processes, not an open-ended "add AI" initiative with no defined success criteria.
Ongoing monitoring and refinement, as usage patterns and underlying tools change, typically moves to a lighter retainer once the initial build is live and stable.
Once the right process is automated, the hours it used to cost show up somewhere else — in the work that actually needed a person's judgment, not a lookup or a repetitive reply.
Getting started is the process audit — finding where manual work is genuinely costing the most time before committing to any build.
Tell us where ai workflows & automation fits in, and we'll reply within a day.
- A real person reads this, not a queue
- No discovery call required to get a straight answer
- Tell us to go away and we will — no drip sequence
Questions worth asking first
No — an agent here means software that takes real actions across your tools (looking up records, drafting responses, updating a CRM), not just answering questions in a chat window. We'll say plainly when a simpler chatbot or rule-based automation is the more honest fit for a given problem.