CYSPARKS

Technology Strategy & Advisory

Making sound architectural, engineering, and capital allocation decisions before building. We provide rigorous diagnostics, codebase audits, and modernization roadmaps.

01 / DIAGNOSIS PRECEDES CODE

Objective Technical Mapping

We never recommend software development until operational friction, team bottlenecks, and integration constraints are systematically mapped.

02 / FEASIBILITY OVER HYPE

Realistic Cost & Latency Modeling

We model exact API token costs, cloud hosting dependencies, and maintenance overhead before greenlighting AI or cloud migrations.

03 / ACTIONABLE SPECIFICATIONS

Engineering-Ready Blueprints

Every advisory engagement delivers concrete architecture blueprints, database schemas, and step-by-step implementation roadmaps.

FORMALIZED ADVISORY ENGAGEMENTS

Structured Diagnostic Methodologies

Time-bounded technical engagements designed to provide immediate clarity, risk reduction, and architectural blueprints for leadership teams.

01 / OPERATIONAL SYSTEMS

Systems & Workflow Bottleneck Diagnostic

Uncovering manual friction, spreadsheet dependency, and operational failure points.

Typical Duration2 Weeks
Target Stakeholders

COOs, Operations Directors, and Managing Directors scaling multi-department teams.

Typical Operational Trigger

Teams spending hours on manual data re-entry, recurring invoice/order reconciliation errors, or inability to scale without linear headcount expansion.

Diagnostic Scope
Departmental data collection points and handoff workflows
Spreadsheet usage, manual copy-paste routines, and shadow IT
Communication latency between sales, ops, and accounting teams
Customer-facing communication bottlenecks across WhatsApp and email
Concrete Deliverables
Operational Data Flow & Bottleneck Map
Quantitative Time & Error Loss Matrix
Target State System Architecture Specification
Phased 90-Day Engineering Implementation Plan
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02 / APPLIED AI & AUTOMATION

Applied AI Readiness & Integration Diagnostic

Objective evaluation of whether generative AI or automation will deliver real ROI.

Typical Duration2 - 3 Weeks
Target Stakeholders

CTOs, Product Leaders, and Innovation Executives evaluating LLMs and automation.

Typical Operational Trigger

Desire to integrate AI chatbots, triage systems, or document parsers without a clear technical specification or cost feasibility model.

Diagnostic Scope
Data quality, cleanliness, taxonomy, and structuring for RAG and inference
API availability, authentication protocols, and third-party rate limits
Privacy, GDPR, Kenyan Data Protection Act, and customer confidentiality bounds
Cost-per-query modeling across foundation model providers vs open-weights
Concrete Deliverables
AI Feasibility & ROI Scorecard
Data Cleanliness & Indexing Assessment
Token Consumption & Infrastructure Cost Model
Production LLM Gateway Reference Architecture
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03 / TECHNICAL HEALTH & SECURITY

Technical Architecture & Security Health Review

Independent audit of existing custom software, database performance, and technical debt.

Typical Duration1 - 2 Weeks
Target Stakeholders

Founders, Technical Boards, and Investors conducting due diligence or pre-scaling audits.

Typical Operational Trigger

Slow page load times, frequent server downtime, unclear database schema scaling limits, or security vulnerability concerns.

Diagnostic Scope
Codebase structure, modularity, type safety, and maintainability
PostgreSQL/MySQL database indexing, query execution plans, and RLS
API latency, authentication vulnerabilities, and endpoint security
Cloud infrastructure provisioning, CI/CD pipelines, and backup recovery protocols
Concrete Deliverables
Comprehensive Architecture & Security Health Audit Report
Database Query Optimization & Indexing Guide
Security Risk Matrix with Categorized Severities
Prioritized Technical Debt Remediation Backlog
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Need architectural clarity before building?

Schedule an introductory technical consultation to evaluate your system challenges and determine the right diagnostic path.

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