Frequently Asked Questions About AI Automation & Software Development

JTech Solution is a full-service technology company founded in 2014. We specialise in custom software development, mobile app development, cloud solutions, UI/UX design, IT consulting, and cybersecurity services. We work with startups, SMEs, and enterprise organisations across the UK, Europe, and North America.

JTech Solution was founded in 2014, giving us over 10 years of experience delivering technology projects. In that time we have completed 100+ projects for 50+ clients across 12 industries.

Our headquarters is in Lahore, Pakistan. We also have a remote-first team serving clients globally. We are comfortable with both remote and hybrid engagements.

We have deep experience in FinTech, HealthTech, E-commerce, SaaS, Education, Real Estate, Legal, Media, and Manufacturing. Our generalist approach means we can adapt to any industry, and we always research your sector thoroughly before starting work.

We work with both. Our team is experienced in helping early-stage startups ship their first MVP quickly and cost-effectively, and we also run large multi-year programmes for enterprise clients. We adjust our process to fit your stage and budget.

Yes. We offer end-to-end services: discovery workshops, UX research, UI design, front-end and back-end development, quality assurance, deployment, and post-launch support. You can engage us for any single phase or the entire journey.

Yes. We offer monthly maintenance retainers that cover security updates, performance monitoring, bug fixes, minor feature additions, and regular technical reviews. Retainer clients receive priority response times.

Absolutely. We often work in staff augmentation mode — embedding our engineers in your existing team to add capacity and expertise. We follow your processes, tools, and coding standards.

Yes. Our design team takes on standalone UX research, wireframing, UI design, and design system projects. You can engage us for design only and hand off to your own developers or another agency.

We run two-week sprints with daily standups, sprint demos every two weeks, and retrospectives. Clients have access to our project management tool (Linear) and can track progress in real time. We value working software over documentation.

We offer three engagement models: fixed-price for well-defined projects, time-and-materials for exploratory or evolving work, and retainer agreements for ongoing development or support. We always provide a detailed estimate before starting.

Projects range from £5,000 for a simple landing page to £500,000+ for complex enterprise platforms. A typical web application sits between £20,000–£80,000. We work with clients to scope projects to fit their budget while maximising value.

For fixed-price projects we typically ask for 30% upfront, 40% at the midpoint milestone, and 30% on delivery. For T&M and retainer work, we invoice monthly in arrears. We accept bank transfer, Stripe, and other payment methods.

Yes. We offer a free initial consultation (30 minutes) and provide a detailed proposal with timeline and cost estimate at no charge. For larger projects we may conduct a paid discovery workshop to produce a more accurate scoping document.

No. Our proposals are fully transparent and itemised. Any third-party costs (hosting, licences, APIs) are called out separately and require your approval before being incurred. Change requests are quoted before work begins.

On the frontend we excel in React, Next.js, and Vue.js. Backend strengths include Node.js, Python (Django/FastAPI), and Go. For mobile we use React Native and Flutter. Cloud-wise we are AWS-primary with strong Azure and GCP capability. We are not dogmatic — we choose the right tool for each problem.

Yes. Full intellectual property ownership transfers to you on final payment. This is written into every contract. We do not retain any rights to work we create for clients.

All code lives in a Git repository (GitHub or GitLab) that you own from day one. We follow a clear branching strategy (GitFlow or trunk-based), with pull requests, code reviews, and CI/CD pipelines as standard.

Standard support retainer clients receive responses within 8 business hours. Priority retainer clients within 2 hours. For critical production incidents we target a 1-hour response time 24/7 for clients on our top-tier support plan.

Yes, our Enterprise support plan includes 24/7 incident response with a guaranteed 1-hour SLA for P1 incidents. Standard business-hours support is included in all project completions for 30 days post-launch.

During active development, we use Linear for issue tracking — you can create tickets directly. For post-launch support, we provide a dedicated support email and a Slack channel for ongoing retainer clients.

Yes. We regularly take over codebases from other agencies or in-house teams. We start with a technical audit to understand the codebase quality and document any issues, then agree a transition plan before taking on responsibility.

Business process automation (BPA) is using software to run a repeatable business process end to end — data entry, approvals, document handling, system-to-system updates — with your team involved only for judgement calls. AI business process automation goes further than rule-based tools because it can also read unstructured input such as emails, PDFs and scanned forms.

Faster cycle times, fewer keying errors, lower cost per transaction, and a full audit trail of every action. Most of our clients see the biggest gains in document-heavy processes such as invoicing, claims and onboarding, where hours of manual handling drop to seconds and staff move onto work that actually needs their judgement.

Traditional robotic process automation replays clicks and breaks whenever a screen or form changes. AI workflow automation understands the content it handles, so it copes with new document layouts, free-text emails and edge cases — and escalates low-confidence cases to a person instead of failing silently.

Agentic workflows are automations where an AI agent plans the steps itself, calls your tools and APIs to carry them out, checks its own output and repeats until the goal is met. Unlike a fixed pipeline, an agentic workflow can handle tasks whose exact steps are not known in advance, with approval gates wherever you want a human in the loop.

Intelligent document processing (IDP) combines OCR, layout-aware machine learning and language models to turn invoices, claims, contracts and scanned PDFs into structured, validated data. Unlike template-based capture it generalises to layouts it has never seen, and flags low-confidence fields for human review rather than guessing.

CRM automation keeps your customer records and sales process moving — enrichment, lead routing and scoring, follow-up drafting, and two-way sync between systems. Marketing automation runs campaigns to audiences: emails, nurture sequences and lifecycle triggers. They overlap at the hand-off point, and we usually automate that hand-off so sales and marketing work from the same data.

An AI voice agent answers or places phone calls in natural speech, understands the caller's intent, takes action in your systems and hands off to a person with full context when it should. It works best on high-volume repetitive calls — appointment booking, order status, lead qualification and out-of-hours cover.

It is a structured review of your data quality, system integrations, governance and team capability, scored against the AI use cases you are considering. You get a ranked shortlist of where AI will pay off first, the work required to get there, and an honest note on anything that is not ready yet.

The high-volume, rule-heavy, error-prone ones: invoice and document processing, CRM data entry, order and procurement approvals, recurring reporting, and first-line customer queries. We run a short audit that ranks your candidate processes by hours saved and error cost, so the first automation funds the rest of the programme.