What types of AI solutions does Spiker build?

Spiker builds AI voice agents, intelligent chatbots, workflow automation pipelines, LLM fine-tuning, predictive analytics, and custom data solutions, all tailored to your specific business needs and infrastructure.

How long does a typical AI project take?

Most projects go from discovery to live deployment in 4–8 weeks. Simpler automations and chatbots can be shipped in as little as 2 weeks, while complex LLM pipelines or multi-system integrations typically take 6–10 weeks.

Do you work with businesses that have no AI experience?

Absolutely. Spiker guides you through the entire process, from identifying the right use cases to deploying and monitoring the final product. No prior AI knowledge is required on your end.

Can you integrate AI into our existing systems?

Yes. Spiker specialises in connecting AI to existing CRMs, ERPs, databases, and third-party platforms via APIs and custom middleware. Our solutions are designed to slot into your current stack, not replace it.

How does Spiker handle data privacy and security?

All systems Spiker builds are GDPR-compliant and follow Zero-Trust security principles. Data is encrypted at rest and in transit, and we never store sensitive client data beyond what is strictly required for the engagement.

Does Spiker offer ongoing support after deployment?

Yes. Spiker offers post-launch monitoring, performance tuning, and dedicated support retainers. Most clients choose a maintenance plan so we can proactively improve models as their data grows.

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Consulting

How a Research Consultancy Scaled Its Operations with AI

A research consultancy needed a sharper digital presence and a faster internal research process. We combined a premium research-focused website with AI-assisted reporting workflows so their team could deliver more client work without adding operational drag.

Mar 20255 min read

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How a Research Consultancy Scaled Its Operations with AI

Industry

Research and consulting

Services

Website redesign, Workflow automation, AI integration

Timeline

10 weeks

Challenge

The previous experience looked dated, the service positioning was unclear, and the report-generation process relied on too much manual effort. That slowed delivery, limited scale, and made it harder for the team to communicate the depth of their expertise.

Approach

We started by clarifying the core offer, restructuring the content hierarchy, and mapping the internal research lifecycle. From there we designed a modern interface for credibility and paired it with workflow automation points where AI could speed up summarization, drafting, and iteration.

Solution

The final solution combined a refined consulting website, a cleaner project intake flow, and AI-assisted research support embedded into the team's process. The result was a more premium brand experience externally and a far more efficient knowledge workflow internally.

Results

60%

Faster report generation

Automation reduced the time spent turning research into client-ready deliverables.

Higher content throughput

The team could produce more strategic outputs in parallel without lowering quality.

10 weeks

Time to launch

From design direction to launch-ready delivery and workflow rollout.

South Asia

Expanded reach

The repositioned site supported growth into new client conversations across the region.

Proof

“The new experience feels aligned with the level of work we do. It sharpened how we present ourselves and made delivery materially faster behind the scenes.”

Team Lead

Research Consultancy

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