Services

AI Consulting Services — Agentic AI, Blockchain & Fractional CTO.

AI consulting services are senior technical engagements where an expert helps your team design, build, and ship AI-powered systems — from agentic AI orchestration to enterprise blockchain and cloud infrastructure. Each service below is a delivery-ready engagement model with a defined scope, timeline, and outcome. Not a vague retainer. Not a buzzword list.

Agentic AI Consulting

End-to-end agentic AI engagements from architecture to production.

I help founders ship production-ready agentic AI systems — multi-agent orchestration with LangGraph and Temporal, LLM governance, safety guardrails, observability pipelines, and phased rollouts that don't break what's already working.

  • ✓Working agentic system in 8–12 weeks
  • ✓Production safety & observability from Day 1
  • ✓Architecture you can extend without me
Scope & engagement →See: SentientOps Control Center

AI Systems Architecture

Technical blueprints that survive scale, compliance, and iteration.

Deep architecture work for teams building AI-native products — composable agent ecosystems, data pipelines, inference infrastructure, multi-model routing, and governance frameworks built for regulated industries.

  • ✓Architecture that scales to 10× without a rewrite
  • ✓Compliance-ready from the start
  • ✓Engineering team aligned on technical direction
Scope & engagement →See: NebulaDesk Agentic Workspace

Blockchain Development

Compliance-ready blockchain systems for regulated markets.

Smart contract development and blockchain infrastructure across L1s and L2s — Cosmos SDK policy layers, DeFi compliance rails, SOC2-ready audit trails, and on-chain risk scoring for institutional desks.

  • ✓Passes SOC2 and compliance audits
  • ✓Policy-enforced on-chain transactions
  • ✓Production-grade smart contract security
Scope & engagement →See: ChainTrust Compliance Engine

Fractional CTO

Senior technical leadership without the full-time overhead.

Hands-on advisory and delivery leadership for founding teams — architecture ownership, technical hiring, roadmap clarity, and engineering execution. Typically 1–2 days per week alongside your existing team.

  • ✓Clear technical roadmap aligned to business goals
  • ✓Engineering team that ships with confidence
  • ✓Architecture decisions you can defend to investors
Scope & engagement →

Next.js Development

High-performance web apps and AI platforms on Next.js 15.

Full-stack Next.js development for AI-native products — RSC architecture, design systems, API routes, Supabase integration, Cloudflare Workers, and product analytics instrumentation built for growth teams.

  • ✓Production-grade app from day one
  • ✓Performance-first architecture (LCP < 1.5s)
  • ✓Designed to hand off or extend in-house
Scope & engagement →See: Aurora Commerce Orchestrator

Serverless Cloud Engineering

Edge-native cloud architecture that scales with zero ops burden.

Infrastructure-as-code, multi-cloud resilience, serverless functions, container orchestration, and SRE practices — with cost discipline baked in. I have migrated teams from $40K/month EC2 fleets to sub-$4K serverless architectures.

  • ✓Zero-downtime deployments by default
  • ✓Cost-optimised from the first sprint
  • ✓Observable and recoverable from Day 1
Scope & engagement →See: FluxDrive Decentralized Storage

How a typical engagement works

Every project follows the same four-phase model. Each phase has defined deliverables and a go / no-go decision point so you are never locked into something that is not working.

01

Discovery

1–2 weeks

Audit existing stack, define the architecture, set success metrics.

02

Pilot

4–6 weeks

Build a focused proof-of-concept with the core risk addressed first.

03

Build

8–16 weeks

Full delivery — architecture, code, infrastructure, observability.

04

Scale

Ongoing

Fractional oversight, performance tuning, and team knowledge transfer.

AI consulting services — common questions

What are AI consulting services?
AI consulting services are engagements where a senior AI practitioner helps an organisation design, evaluate, and implement AI systems — from strategy and architecture through to production deployment. This includes agentic AI system design, AI systems architecture, enterprise blockchain integration, and technical due diligence for AI investments.
How much do AI consulting services cost?
AI consulting services typically range from $5,000–$15,000 for a focused discovery or architecture audit, $20,000–$120,000 for a full system build, and $4,000–$14,000/month for an ongoing fractional engagement. The right scope depends on whether you need strategy, architecture, implementation, or all three.
When should you hire an AI consultant vs. build an in-house team?
Hire an AI consultant when you need to move fast, validate an architecture, or fill a specific expertise gap — particularly in agentic AI, enterprise blockchain, or regulated AI deployment. Build an in-house team when the AI work is core to your product and will be ongoing. The two are not mutually exclusive: most of my engagements end with the in-house team owning the system I helped design.
Do you work with early-stage startups or only enterprise clients?
Both. My fractional CTO and agentic AI consulting work often starts at seed or pre-Series-A. Enterprise blockchain and AI systems architecture work tends to involve larger regulated organisations. The common thread is ambition — clients who are trying to build something technically hard.
Where are you based and do you work remotely?
I am based in Islamabad, Pakistan and work fully remotely with founders and teams across the US, UK, Europe, and the Middle East. Most engagements are async-first with weekly or bi-weekly video calls, so timezone differences are rarely a blocker.

Not sure which service fits your situation?

Book a 30-minute strategy call. I will help you figure out the right engagement model.

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