AI Agent Development

Business Automation Consultant for Claude AI Workflows

Hire a business automation consultant to map Claude AI use cases, train your team, and set up prompts, workflows, and selected tasks.

✓Deployed for B2B teams✓Discovery to production in 3–6 weeks

37+Automation projects delivered

60+Tools built

71+Client workflows delivered

4.9/5Client satisfaction

Case Studies

Work we've shipped

Real engagements. Relevant to what you need.

Representative workflow

Oxagile

AI Agent Development

4-6 weeks

Initial problem

Business teams spent 60% of decision-making time on low-complexity, rule-bound decisions — access approvals, payment releases, tier-1 escalations.

Our solution

AI agent development targeting decision automation: autonomous agents trained on historical decisions, business rules, and policy documents.

Result

✓

83% of previously manual decisions now handled autonomously by AI agents; senior team decision load reduced by 60%.

PythonLangChainCrewAIOpenAIAnthropic

"The business outcome is that our team now touches only decisions that genuinely require human insight. That ratio shift is transformative."

Representative workflow

Dreamix

AI Agent Development

4-6 weeks

Initial problem

Content ops team spent 70% of time on mechanical tasks — asset tagging, metadata entry, channel scheduling — with minimal creative capacity remaining.

Our solution

Built AI agent development for the content pipeline: autonomous agents handling asset classification, metadata generation, and publishing scheduling.

Result

✓

Team creative time increased from 30% to 78% of the working week.

PythonLangChainCrewAIOpenAIAnthropic

"Autonomous AI agents now manage the content pipeline end-to-end, escalating only genuine editorial decisions. The team went from reactive to creative in weeks."

Representative workflow

BotsCrew

AI Agent Development

4-6 weeks

Initial problem

22-step client onboarding across sales, legal, and customer success averaged 12 business days — frequent dropped handoffs and missed tasks throughout.

Our solution

Built AI agent development with autonomous agents handling document verification, account provisioning, and onboarding email sequencing.

Result

✓

Onboarding time reduced from 12 days to 24 hours for standard clients; missed-step incidents dropped to zero.

PythonLangChainCrewAIOpenAIAnthropic

"The autonomous AI agents collect documentation, verify requirements, provision accounts, send onboarding sequences, and schedule kick-off calls — all. We now onboard in 24 hours instead of two weeks."

Social Proof

Trusted by B2B teams

Representative clients and feedback from automation engagements across sales, ops, and logistics teams.

Representative clients

Oxagile

AI Agent Development

Dreamix

AI Agent Development

BotsCrew

AI Agent Development

Scalo

AI Agent Development

Vention

AI Agent Development

Netguru

AI Agent Development

"The business outcome is that our team now touches only decisions that genuinely require human insight. That ratio shift is transformative."

S. Marchuk

Founder & CTO · Oxagile

"Autonomous AI agents now manage the content pipeline end-to-end, escalating only genuine editorial decisions. The team went from reactive to creative in weeks."

S. Mitov

CEO & Partner · Dreamix

"The autonomous AI agents collect documentation, verify requirements, provision accounts, send onboarding sequences, and schedule kick-off calls — all. We now onboard in 24 hours instead of two weeks."

N. Hembara

Co-Founder & CEO · BotsCrew

"The autonomous AI agents they built reason about the state of a workflow, not just its inputs. That contextual reasoning is what separates real AI agent development from simple automation."

M. Konieczny

Head of Growth - DACH & Nordics · Scalo

Ready to get started?

See exactly what we'd automate for your team

A 30-minute discovery call is enough to map your workflow and tell you whether automation makes sense.

Estimate this project

✓Typical engagement: 3–6 weeks✓Discovery to working prototype in 2 weeks

Why Us

What makes us different

Four principles built into every engagement — not marketing copy, but verifiable commitments you can hold us to.

Nothing goes out without your sign-off

AI automations can send the wrong email, update the wrong record, or take an action you didn't approve — silently. We build a review step into every automation that touches customers or data, so a human approves it before it goes live. You're never finding out about a mistake after it's already out the door.

How we prove it

✓

Every engagement includes an approval queue before production go-live.

We recommend what's right for you — not what pays us

A lot of agencies steer you toward the platform that gives them a referral fee, even if it's the wrong fit for your systems. We don't take referral fees. We map your existing tools first, then recommend the stack that fits — and we show you the alternatives we considered and why we didn't pick them.

How we prove it

✓

Integration design doc lists options with tradeoffs before build starts.

We don't disappear after launch

Automations break quietly — an API changes, a token expires, nobody notices until a customer complains. We build monitoring and alerting into every project, so we catch the failure before it costs you anything. And you get 30 days of support after go-live, not a one-time handoff.

How we prove it

✓

Every project includes a monitoring dashboard; 30-day post-launch support standard.

No surprise invoices, ever

You'll always know exactly what we're building this week, what's done, and what's been pushed to a later phase — before we touch a line of code. No scope creep, no "oh, that wasn't included" conversations at the end.

How we prove it

✓

Weekly milestone updates and a signed scope doc before prototype work begins.

Client Feedback

Trusted by Teams Like Yours

A few words from the teams we've partnered with, sharing what it's been like to work with us and the impact automation has had on their day-to-day.

"The business outcome is that our team now touches only decisions that genuinely require human insight. That ratio shift is transformative."

✓

83% of previously manual decisions now handled autonomously by AI agents; senior team decision load reduced by 60%.

S. Marchuk

Founder & CTO · Oxagile

"Autonomous AI agents now manage the content pipeline end-to-end, escalating only genuine editorial decisions. The team went from reactive to creative in weeks."

✓

Team creative time increased from 30% to 78% of the working week.

S. Mitov

CEO & Partner · Dreamix

"The autonomous AI agents collect documentation, verify requirements, provision accounts, send onboarding sequences, and schedule kick-off calls — all. We now onboard in 24 hours instead of two weeks."

✓

Onboarding time reduced from 12 days to 24 hours for standard clients; missed-step incidents dropped to zero.

N. Hembara

Co-Founder & CEO · BotsCrew

Led byZegham Ali — AI Agent & LLM Engineer ↗

Named Experts

The team on your project

You'll work with named engineers and a dedicated delivery manager — not an anonymous team bench.

Zeeshan Ahmad

Founder & Principal Automation Architect

Zeeshan owns the architecture behind every build — choosing the stack, designing the integrations, and deciding where reliability layers like failure handling and human review gates need to sit before a system goes live.

Experience

Production automation architecture and stack decisions
Integration design across RPA and LLM agent systems

View on X View GitHub

Mughees Rehman

Conversational AI / Chatbot Specialist

Mughees designs the conversational AI behind chat automation — qualify, route, deflect, and hand off cleanly to a human — across ManyChat, Telegram, and Discord.

Experience

Designing conversational flows and chatbot logic across ManyChat, Telegram, and Discord
Intent routing, deflection optimization, and clean human handoff design

View on X

Awais Ahmad

Senior RPA & Workflow Engineer

Awais builds the workflow automation itself — retries that actually retry, idempotency, audit trails — turning brittle scripts into RPA that holds up at production volume.

Experience

Designing and deploying RPA bots for high-volume, repetitive business processes
Building production workflow logic with retries, idempotency, and audit trails

View on X View GitHub

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Ready to remove the manual work from your workflow?

Book a 30-minute discovery call. We'll map your current workflow and tell you exactly what we'd automate — and whether it's worth building.

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✓No retainer required✓Discovery to production in 3–6 weeks✓Human-in-the-loop by default