AI AGENT SYSTEMS CONSULTANCY
We help ecommerce businesses design, build, evaluate, and operate reliable AI agents — agents that search your catalog, take approved actions in your systems, and are tested and monitored like any other production software.
BUSINESS OUTCOMES
Every engagement is scoped around a business result you can measure.
Shoppers find the right product and reach checkout with fewer drop-offs.
Routine questions and order lookups resolved, with clean handoff to your team.
Bounded actions, error handling, and tests that catch regressions before customers do.
Usage, latency, and cost tracked per workflow — no surprise model bills.
WHY GWIKSOFT
Our differentiator is production reliability and business integration — not simply access to an AI model.
Generic AI agency
Gwiksoft
Build a chatbot
Build a commerce agent that searches products and executes approved actions
Connect APIs
Design secure, reliable agent-to-system integrations
Write prompts
Build bounded workflows with policies and measurable evaluations
Demo an AI agent
Test, deploy, monitor, and maintain a production agent
Charge for development hours
Package business outcomes and ongoing operational support
WHO WE WORK WITH
We focus where deep commerce and integration experience makes the biggest difference.
Product discovery agents, order-support automation, cart assistance, FAQ automation, and human escalation — connected to your live catalog and store data.
Specialist AI engineering capacity for your clients: AI integrations, MCP tool development, agent evaluation systems, and production deployment.
Agents that connect commerce, CRM, ERP, and customer support systems — including Microsoft Dynamics 365 and wider integration architecture.
BEST FIT
A Shopify merchant or ecommerce agency with meaningful product and support complexity, existing software systems, and a measurable problem worth solving. If you only need a simple FAQ widget, an off-the-shelf tool is likely a better fit.
CORE SERVICES
Everything needed to take an AI agent from idea to a reliable part of your business.
Production agents with business context, scoped permissions, and human oversight — from product discovery to order support.
Bounded, multi-step workflows with explicit policies, approval gates, and clear escalation paths to your team.
Secure agent-to-system integrations with Shopify, CRM, ERP, and support tools, including Model Context Protocol servers with auditable tool access.
Automated evaluation suites that test correctness, authorization, failure handling, latency, and cost against real scenarios.
Versioning, rollback, tenant authorization, observability, and cost limits — so the agent survives real customer traffic.
Monitoring, regression testing after every change, and usage and cost reviews that keep the agent improving.
REFERENCE IMPLEMENTATION
Our reference agent demonstrates one workflow end to end — proving both business functionality and engineering reliability.
A shopper requests a product recommendation in natural language.
The agent pulls real catalog information through the store integration.
It explains the recommendation using verified product data — no invented details.
The shopper picks a variant and the agent adds it to the cart.
The resulting cart is verified before a clean handoff to checkout.
Evaluations check correctness, authorization, failure handling, latency, and cost.
Each demo comes with an architecture diagram and test report. We report measured results separately from projected benefits.
DELIVERY PROCESS
A structured path from assessment to operations — with production reliability built in at every stage.
Understand your workflows, systems, support volume, and conversion friction. Identify where an agent creates measurable business impact.
Define agent capabilities, data sources, permission models, and evaluation criteria. Agree on KPIs and pilot success criteria.
Build the agent, workflows, and integrations with proper authentication, authorization, error handling, and human escalation.
Run automated evaluations against real scenarios before launch. Measure correctness, policy adherence, latency, and cost.
Deploy with monitoring, versioning, and rollback. Deliver an acceptance report, deployment checklist, and handover documentation.
Monitor, triage incidents, run regression evaluations after every change, and improve the agent within an agreed monthly allowance.
ENGAGEMENT MODELS
Start with an assessment, prove value with a pilot, then keep the agent reliable with ongoing operations.
$750–$2,000
A low-risk way to find out where AI agents will pay off in your business.
$3,000–$8,000
Demonstrate a measurable business result before committing to a larger rollout.
$750–$2,500/mo
Ongoing operation and improvement of your deployed agents.
Infrastructure, model usage, and substantial new features are priced separately unless explicitly included.
Indicative starting prices in USD. Every quote is based on scope, integration complexity, risk, and business value.
Explore other AI capabilities that complement your strategy
Book a discovery call. We'll talk through your support volume, conversion friction, repetitive workflows, and systems — and whether an AI agent is the right answer.