How Templify automated nearly half of customer support and cut tooling costs by 89%.
AI-native customer support and automated subscription management. 89% reduction in tooling costs, 48% of tickets fully automated, and 5.900% faster response times.
Automation changes who handles routine work — and what it costs. Repetitive tasks move off your team’s queue and onto agents that handle them automatically.
Agents run the repetitive work, so hours come back to your team and cost per task falls.
Manual repetition bills the same staff hours every week, and that number never comes down.
Every run follows the same checked steps, so Friday’s output matches Monday’s without anyone having to check.
Handoffs between people drop details, and someone downstream spends a morning on the rework.
With customer support automation running, requests get picked up the moment they land instead of waiting for morning.
Queues stack up behind office hours, and Monday starts with everything the weekend left.
Volume can double and the workflow absorbs it, which is how operations grow without new shifts.
Manual processes crack when volume climbs, and the usual patch is more headcount.
Reports, formula-based work and data transfers between systems run on their own, so your whole team gets that time back.
Busywork quietly eats the day of the engineers you hired for harder problems.
Production support holds a steady 24/7 pace, through nights, weekends and the spikes nobody scheduled.
Human coverage has holes at the edges, and incidents do not check the roster.
Ekreative has delivered 250+ products since 2009. Our AI workflow automation services have automated support queues, operations and engineering workflows: Templify now handles 48% of tickets automatically, Kidslox runs operations with 10 people instead of 24. Most client work sits under NDA, so here is a selection.
AI-native customer support and automated subscription management. 89% reduction in tooling costs, 48% of tickets fully automated, and 5.900% faster response times.
AI orchestration across customer support, content moderation, and ops. Same business outcomes, 58% smaller team, fully documented handover.
AI-augmented engineering practice across architecture, code generation, testing, and review. Faster delivery on a smaller team, in a regulated healthcare environment.
Engineering velocity overhaul on a legacy codebase: AI-augmented development workflow, automated QA, and refactored architecture. Real AI in the build process — not in the pitch deck.
Send us the workflows draining your team. We’ll map them, rank the ones worth automating first, and come back with a documented scope and expected impact within one to two weeks.
Senior engineering time included in every audit, yours free whether you hire us or not.
Repeat questions get answered without a person opening the ticket. AI agents handle first-line responses, deflect what has a known answer and triage the rest into the right queue.
Release and review workflows stop waiting on people. Tickets move between stages on their own, handoffs get chased automatically, and environment and deployment steps run without a manual trigger.
Onboarding paperwork and internal requests stop sitting in someone’s inbox. Approvals route themselves, and back-office automation covers the admin that follows every new hire or internal change.
Recurring reports build themselves from the systems that hold the numbers. Reconciliation, invoice processing and data pipeline work run on schedule, with a person reviewing what falls outside the rules.
Leads reach the right owner while they are still warm. Records get enriched, routed by your rules, and campaign reporting assembles itself from the tools your team already uses.
CRM records stay in sync, onboarding workflows launch automatically, and documents, tasks and follow-ups reach the right people at the right time — so you can deliver a smoother client experience with less manual work.
Status updates stop being a daily ask. Tasks get created from tickets, emails or documents, and the same information stays in sync across the tools different teams work in.
Orders and stock levels update themselves as things move. Order processing and supplier coordination run automatically, and anything outside the rules gets flagged for a decision.
Don’t see your area?
If a task is repetitive and in your team’s tools, it can likely be automated — tell us what you use.
Reliable automation pairs modern AI — large language models such as GPT, Claude and Gemini, agent frameworks, retrieval-augmented generation — with solid integration into the platforms your team already runs every day.
Ekreative has shipped production software since 2009, and our AI workflow automation services carry that same delivery discipline.
Approval gates sit at the points where human decisions are needed, while the rest of the workflow stays automated. Your team decides what agents may do alone and what always comes back for human sign-off.
Our AI-powered workflow automation runs inside the SaaS and internal tools you already pay for. No migration, no replacement platform, no asking your team to learn a second place to work.
Access controls, guardrails and continuous testing keep automations inside their intended scope. We have shipped into regulated environments, including a medical contract system where compliance was part of the build.
We track hours saved, tasks handled and error rate from the first workflow. For Templify, that meant 48% of support tickets fully automated and tooling costs down 89%.
A prototype that works in a meeting is not the goal. We build automations that hold up under real traffic, with the tuning and ownership that keeps them working months later.
Discovery, build, integration, security and support stay with one team. Clients average 5+ years with us, which happens when there is one point of accountability instead of a chain of vendors.
From startups to enterprise teams — Ekreative helps companies ship better software faster, without sacrificing quality or reliability.
Start with the work that repeats often and follows clear rules. Volume, a predictable path and a measurable cost make a workflow a strong first candidate. Our AI workflow automation services usually begin with support queues, back-office admin or handoffs between systems.
Scripts and RPA follow fixed steps; agents interpret what they are given. The difference between RPA and AI automation shows up when input varies: a script breaks on an unfamiliar format, while an agent reads it, decides and asks a person when it is unsure.
Yes, through the APIs your tools already expose. Workflow automation with AI agents connects to your CRM, helpdesk, database or internal admin panel without replacing any of them. Where a no-code or low-code platform is already in place, agents work alongside it.
Yes, and we define exactly where that control sits. Purely repetitive work, like moving data between systems or resolving routine cases, runs on its own. Anywhere a business decision is involved, we place a checkpoint where a person approves before the workflow continues.
Scoped access and tested limits, with review before anything goes live. Our AI workflow automation services give each agent only the permissions its workflow needs, and every action it takes is logged. Approval steps stay on sensitive actions, and we have built this way inside regulated healthcare.
For a single workflow, typically two to six weeks. Discovery and design take the first part of that, then build and evaluation follow. Broader programs run longer, though the first automation usually reaches production before the rest is scoped.
Yes, and that is a large part of what we do. AI workflow automation services cover incident triage, alert handling, ticket deflection and runbook automation, so coverage holds overnight and through spikes. Templify now closes 48% of its tickets without a human.
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