The simplest result can be stated when both your conditions hold. If they are satisfied, your Fourier
transform is analytic and bounded from above in the strip
$-a_2<\mathrm{Im}\, s<a_1$, and bounded from above in any smaller strip. Such function has a limit rate of decay
$\exp\left(-e^{\pi|s|/a}\right)$, where $a=a_1+a_2$ is the width of your strip, in the sense that if $|\hat{f}(s)|\leq \exp\left(-e^{(\pi/a+\epsilon)|s|}\right)$ when $s\to +\infty$ or if $s\to-\infty$, then $f\equiv 0$. This is a simple consequence of the Phragmen-Lindelof Principle, see for example,
B. Levin, Lectures on entire functions, AMS 1996.
With a bit more labor (using Poisson integral for a strip) one can prove that this remains true when $a_1=0$ or $a_2=0$, that is when we have one-sided
decay condition on $f$. More precisely, we have a bounded analytic $\hat{f}$ function in the strip $0<\mathrm{Im}\, s<a$, say continuous at the boundary, and we want to know how fast it can decrease on the real line. Let $u$ be the least harmonic majorant of $\log|\hat{f}|$. Then, as a harmonic function bounded from above, it must be equal to the Poisson integral of its boundary values. In particular, this Poisson integral must converge.
This gives the maximum possible rate of decrease (of $u(x)$ to $-\infty$). Since Poisson kernel for the strip of width $a$ is
$\mathrm{Im}\coth(\pi z/(2a))$ we obtain the result.
Function $\hat{f}(s)=\exp(-\cosh \pi s/a)$
shows that the result is best possible. This function is in $L^2$ so $f$ is also in $L^2$. Correct exponential decrease of $f$ is easy to prove directly.
Edit. I found a reference, which also contains an example that shows that it is best possible, even in the class of probability densities
($f\geq 0$):
Ju. Linnik and I. Ostrovskii, Decomposition of random variables and vectors, AMS 1977,
Chap. II, section 4, at the very end of this section. Their example has an additional feature that $f\geq 0$, and for this reason it requires some labor.